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Kexin Fu

4/25/2023 Journal Club

Systematic Review and Meta-analysis

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Method Introduction

CONTENT

1

Method Application

Systematic Review and Meta-analysis Reading, understanding, interpreting (Sebastian, etc., 2018)

Opioids for Chronic Noncancer Pain

A Systematic Review and Meta-analysis (Jason, etc., 2018)

2

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Method Introduction

Scheidt S, Vavken P, Jacobs C, Koob S, Cucchi D, Kaup E, Wirtz DC, Wimmer MD. Systematic Reviews and Meta-analyses. Z Orthop Unfall. 2019 Aug; 157(4):392-399.

1

  • Background of Review
  • Methods for SR and meta-analysis

1. Clearly Defined Research Question And Search Algorithm

2. Blinded Selection Of Relevant Papers By Trained Persons

3. Quality Assessment Of The Studies

4. Evaluation And Summary Of The Evidence

5. Interpretation And Determination Of The Overall Effect

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Background of Review:We need reviews

Why we need reviews?

keep up-to-date about the field of research and knowledge

Identify research gaps and generating hypotheses

Pressure to promote academic career in life science

Find safer, better, reproducible treatment

save and time and money to research on same topics

Increasing publication require compressed and objective review

......

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Background of Review: Two types of reviews

Narrative Review (NR)

Systematic Review (SR)

A general summary of the current state of publications on a topic.

Features :

original, narrative, more subjective,

help shine a light on specific questions,

less sophisticated, less time-consuming

require experience and knowledge,

limited evidence level

A review of the evidence on a clearly formulated question that uses systematic and explicit methods to identify, select and critically appraise relevant primary research, and to extract and analyze data from the studies that are included in the review.

Features :

updated, more objective, standardized, planned and reproducible, reliable, larger sample size to offset statistically weakness, high evidence level, evidence-based

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Background of Review:Systematic Review (SR) and Meta-analysis

“Meta-analyses are the further development of SRs in the sense that they provide a quantitative and mathematical-statistical summary of individual studies.”

Meta-analysis is often used in conjunction with systematic reviews to synthesize the findings of multiple studies on a specific topic.

Systematic review provides a thorough and systematic summary of all the available literature on a topic

Meta-analysis provides a quantitative summary of the results of multiple studies.

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Methods for SR and meta-analysis:Overview

Clearly Defined Research Question And Search Algorithm

Blinded Selection Of Relevant Papers By Trained Persons

Quality Assessment Of The Studies

Evaluation And Summary Of The Evidence

Interpretation And Determination Of The Overall Effect

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1. Clearly Defined Research Question And Search Algorithm

Defined Research Question

P Adults (age 18 years and above), both sexes, all ethnicity, all nationality

C Placebo, Or No Intervention, or Anxiolytics Or Traditional Approaches, or Drug Based Approaches, or Other Cognitive Behavioural Therapy

O Anxiety Symptom Scores, or Generalised Anxiety

I Mindfulness Meditation

T 1 year

Goal: Explore if minduflness meditation is effective for anxiety

Question Among Adults, compared with all other approaches, what is the effectiveness of Mindfulness Meditation for the relief of Anxiety?

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1. Clearly Defined Research Question And Search Algorithm

Search Algorithm

Boolean Logic: “AND”, “OR”, “NOT”

Fuzzy logic: “NEAR”, “WITHIN 5 Words”

Specific Symbols: “*” , “$” (truncation)

  • Search items
  • Search Logics
  • Search Engines

Title/Abstract/Full text...

CINAHL, EMBASE, PubMed, MEDLINE...

Always RCTs?

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2. Blinded Selection Of Relevant Papers By Trained Persons

2.1 Eligibility

2.2 Exclusion criteria

2.3 Independent screening

2.4 Full text review

  • title/abstract/citation
  • independent and duplicate
  • discussion
  • discussion
  • abstract information

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3. Quality Assessment Of The Studies

Newcastle-Ottawa Scale

The selection of the study populations

The comparability of the subgroup

The ascertainment of the therapeutic effect

https://www.ohri.ca/programs/clinical_epidemiology/oxford.asp

Cochrane Risk

In the field of evidence-based medicine, the Cochrane Risk of Bias (RoB) is a tool used to assess the quality of randomized controlled trials (RCTs) and other types of study designs. It involves evaluating the risk of various biases, such as selection bias, performance bias, detection bias, attrition bias, and reporting bias, in the design, conduct, and reporting of a study. The Cochrane RoB tool is commonly used by systematic reviewers and meta-analysts to assess the internal validity of studies included in their reviews, and to determine the overall quality of evidence.

https://sites.google.com/site/riskofbiastool/welcome/rob-2-0-tool?authuser=0

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4. Evaluation And Summary Of The Evidence:Forest Plot

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4. Evaluation And Summary Of The Evidence: Test for heterogeneity

  • Reason for heterogeneity: disparities with population, intervention and endpoint...
  • Cochran’s Q statistic (chi-square statistics) , commonly p<0.1 significant heterogeneity
  • I2 statistic, commonly >50% significant heterogeneity

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common effect

within-study error

variance of effect

4. Evaluation And Summary Of The Evidence: Effect Models

“fixed effects model” and “random effects model”

The first model assumes a constant therapeutic effect (studies included are homogeneous) in the meta-analysis, whereby the second model presupposes that there exists other confounders (studies included lack homogeneous) and that the result of the analysis will therefore, due to the generally wider confidence interval, be more conservative.

“fixed effects model”

for single study included, the effect is:

weighted effect is:

# of studies

“random effects model”

for single study included, the effect is:

within-study error

mean of all true effects

between-study error

The difference between common effect and mean of all true effects is the variance of each single study effect

estimated between-group variance

DerSimonian & Laird Method:

weighted effect is:

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Grading of Recommendations, Assessment, Development and Evaluation (GRADE)

GRADE provides a transparent and systematic approach to evaluating evidence, considering factors such as study design, risk of bias, inconsistency, indirectness, imprecision, and publication bias, to determine the overall quality or certainty of the evidence. The system categorizes evidence into four levels: high, moderate, low, or very low quality. The quality of evidence is determined based on the cumulative risk of bias and other factors, with higher quality evidence being considered more reliable and informative.

https://gdt.gradepro.org/

4. Evaluation And Summary Of The Evidence: Evidence Evaluation

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5. Interpretation And Determination Of The Overall Effect

Funnel Plot: Accessment of publication bias

  • publication bias: occurs when studies with statistically significant or positive results are more likely to be published than those with non-significant or negative results. Publication bias can lead to an overestimation of the true effect size of a particular intervention or treatment, since the published literature may not include all relevant studies, especially those with negative or null findings.
  • A symmetrical form with points concentrated above and dispersed below indicates a balanced study publication

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Method Application

2

  • Introduction
  • Methods and Result

1. Clearly Defined Research Question And Search Algorithm

2. Blinded Selection Of Relevant Papers By Trained Persons

3. Quality Assessment Of The Studies

4. Evaluation And Summary Of The Evidence

5. Interpretation And Determination Of The Overall Effect

  • Discussion and Conclusion

Busse JW, Wang L, Kamaleldin M, Craigie S, Riva JJ, Montoya L, Mulla SM, Lopes LC, Vogel N, Chen E, Kirmayr K, De Oliveira K, Olivieri L, Kaushal A, Chaparro LE, Oyberman I, Agarwal A, Couban R, Tsoi L, Lam T, Vandvik PO, Hsu S, Bala MM, Schandelmaier S, Scheidecker A, Ebrahim S, Ashoorion V, Rehman Y, Hong PJ, Ross S, Johnston BC, Kunz R, Sun X, Buckley N, Sessler DI, Guyatt GH. Opioids for Chronic Noncancer Pain: A Systematic Review and Meta-analysis. JAMA. 2018 Dec 18;320(23):2448-2460. doi: 10.1001/jama.2018.18472.

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Introduction:Opioids for Chronic Noncancer Pain (CNCP)

Chronic Noncancer Pain (CNCP)

Any painful condition that persists for ≥3 months that is not associated with a diagnosis of cancer. The National Center for Health Statistics estimates that 25% of the US population experiences CNCP, Chronic pain not caused by cancer is the primary cause of healthcare resource consumption and disability during adult working years.

Opioid

Opioids are a class of drugs that derive from, or mimic, natural substances found in the opium poppy plant. Opioids work in the brain to produce a variety of effects, including pain relief, and some people use opioids because of the euphoria (“high”) they can produce. Opioids include the 1)illegal drug heroin, 2)synthetic opioids such as fentanyl, and 3)pain relievers available legally by prescription, such as oxycodone (OxyContin®), hydrocodone (Vicodin®), codeine, morphine, and many others. Opioid drugs can cause addiction, also known as opioid use disorder (OUD).

According to the VAS test, non-steroidal drugs(preferred) + weak opioid analgesics, such as tramadol, were recommended for pain assessment at pain level 4-7. Strong opioids, such as morphine and fentanyl, are recommended over 7 points

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Introduction:Opioids for Chronic Noncancer Pain (CNCP)

Importance

Harms and benefits of opioids for chronic noncancer pain remain unclear.

Social effect

50 million adults in the United States were living with chronic noncancer pain,many of whom were prescribed opioid medications. The side effect of opioid mediacation include diversion, addiction, overdose, and death. Studies have found a strong correlation between US states with high drug-poisoning mortality and those with high opioid consumption. Opioid overdose is now the leading cause of unintentional death in the USA, having recently overtaken motor vehicle-related fatalities.

Limitation of recent systematic review

1.no eligible RCTs included

2.no latest studies included

3.no test for interaction (valid subgroup analysis) was reported

4.only English articles included

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Introduction:Opioids for Chronic Noncancer Pain (CNCP)

Objective

To systematically review randomized clinical trials (RCTs) of opioids for chronic noncancer pain.

Question

Is the use of opioids to treat chronic noncancer pain associated with greater benefits or harms compared with placebo and alternative analgesics?

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Method and Result:Overview

  • Question
  • Search Strategy
  • Assess risk of bias (modified cochrane risk)

Clearly Defined Research Question And Search Algorithm

Quality Assessment Of The Studies

Interpretation And Determination Of The Overall Effect

Blinded Selection Of Relevant Papers By Trained Persons

Evaluation And Summary Of The Evidence

STEP 1

STEP 2

STEP 3

STEP 4

STEP 5

  • Eligibility
  • Study selection
  • Data collection

  • Forest Plots
  • Subgroup analysis (Interaction)
  • Evidence evaluation (GRADE)
  • Funnel Plots
  • Sensitivity analysis
  • Discussion
  • Conclusion

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Method and Result:Clearly Defined Research Question And Search Algorithm

Question

Search Strategy

  • Any language
  • From inception to 4/1/2018
  • CINAHL,EMBASE,MEDLINE,AMED,HealthSTAR,PsycINFO,and the Cochrane Central Registry of Controlled Trials (CENTRAL)
  • Example for PubMed:

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Eligibility (Inclusion & Exclusion Criteria)

  • Only RCTs included
  • Chronic noncancer pain is defined as pain present for a duration of ≥3 months, or as defined by the study authors as chronic, as well as relapsing chronic condition
  • Randomized them to an oral or transdermal opioid (pure opioid or a combination product) vs any nonopioid control
  • Exclude RCTs less than 4 weeks follow-up
  • >=90% noncancer patients if mixed with cancer patients in samples or separately report
  • Exclude conference abstracts
  • Exclude rarely used interventions (such as oral ketamine, mexiletine, propoxyphene, dextropropoxyphene, fedotozine, and asimadoline) for chronic noncancer pain in North America were excluded)
  • Contact author if uncertain for above issues

Method and Result:Blinded Selection Of Relevant Papers By Trained Persons

Eligibility

Study Selection

Data collection

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Method and Result:Blinded Selection Of Relevant Papers By Trained Persons

Eligibility

Study Selection

Data collection

Method

  • Five pairs of trained reviewers screen independently using standardized forms
  • Titles, available abstracts, citation
  • If eligible, judged by six teams of reviewers independently for eligibility screening full text
  • If disagreement by teams, discuss with arbitrator(JWB or SMM)
  • The ɸ(phi) statistic will provide a measure of interobserver agreement independent of chance regarding RCT eligibility.
  • Online systematic review software: DistillerSR, Evidence Partners

Result

  • 96 RCTs 26169 participants

(Agreement between reviewers at the full-text review stage (κ = 0.78)

  • 25 trials of neuropathic pain, 32 trials of nociceptive pain, 33 trials of central sensitization (pain present in the absence of tissue damage), and 6 trials of mixed types of pain
  • 61% female (IQR, 47%-64%) ; median age, 58 years[IQR range, 51-61]

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Method and Result:Blinded Selection Of Relevant Papers By Trained Persons

Eligibility

Study Selection

Data collection

Method

  • A pair of reviewers independently abstracted eligible articles
  • Initiative on Methods, Measurement, and Pain Assessment in Clinical Trials (IMMPACT, http://www.immpact.org/) to inform the outcomes based on feedback from clinicians/researchers and patients (focus groups 4*31 +online survey 959/1407)
  • The included data were study and patient characteristics, dose and duration of treatment, and patient-important outcomes

Result

MAIN OUTCOMES AND MEASURES

  • pain intensity (VAS score range, 0-10 cm on a visual analog scale for pain; lower is better and the minimally important difference [MID] is 1 cm),
  • physical functioning (score range, 0-100 points on the 36-item Short Form physical component score [SF-36 PCS]; higher is better and the MID is 5 points),
  • incidence of vomiting ((a systematic review of patient values and preferences19 identified nausea and vomiting as the opioid-induced adverse events that were most important to patients)

- emotional functioning to the 100-point SF-36 men_x0002_tal component score;

- role functioning to the 100-point SF-36 subscale for role limitations due to physical problems;

- social functioning to the 100-point SF-36 subscale for social functioning;

- sleep to the SF-36 sleep quality 100-mm VAS

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Method and Result:Blinded Selection Of Relevant Papers By Trained Persons

Eligibility

Study Selection

Data collection

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Method and Result:Quality Assessment Of The Studies

Method

  • Applied modified cochrane risk. Random sequence generation; allocation concealment; blinding of participants, healthcare professionals, data collectors, outcome assessors, and data analysts; and incomplete outcome data
  • Response options of “definitely or probably yes” (assigned a low risk of bias) and “definitely or probably no” (assigned a high risk of bias)
  • Reviewers will resolve disagreement by discussion and an arbitrator(JWB orSMM)will adjudicate any unresolved disagreements

Result

All trials were at risk of bias for at least 1 of the following domains; however, 51 (53%) adequately generated their randomization sequence, 48 (50%) adequately concealed allocation, 84 (88%) blinded patients, 84 (88%) blinded caregivers, 83 (87%) blinded data collectors, 82 (85%) blinded outcome assessors, and 6 (6%) included a blinded data analyst. There were 73 trials (76%) with frequent (≥20%) missing outcome data

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Method and Result:Quality Assessment Of The Studies

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Method and Result:Evaluation And Summary Of The Evidence

Forest Plots

Subgroup analysis

Evidence Evaluation

Method

  • Stata (13.1), 2-tailed p<=0.05 as significant threshold
  • Random effect model
  • Continuous outcome measure:
    • mean, median, sd
    • weighted mean difference/risk difference
    • The Minimally Important Difference(MID) is the smallest amount of improvement in a treatment outcome that patients would recognize as important.
  • Binary adverse event outcome measure:
    • Frequency
    • Relative risks(RR)/risk ratio
  • Change score: calculated them using the baseline and end-of-study scores and the associated SDs using a correlation coefficient
  • If unavailable data, contact the author or using the hot-deck approach.
  • Cochran Q test and the I2 statistic were used to examine statistical heterogeneity

pain relief: 1.0 cm (VAS)

physical functioning and emotional functioning: 5 points (SF-36)

role functioning and social functioning: 10 points (SF-36)

sleep quality: 10 mm (VAS)

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Method and Result:Evaluation And Summary Of The Evidence

Forest Plots

Subgroup analysis

Evidence Evaluation

Method

  • stratifying strategy, only conduct when 2 or more studies in a given subgroup
  • Meta-regression was performed for length of follow-up, opioid dose, and loss to follow-up
  • subgroups list:
    • crossover vs parallel trials
    • trials at risk of bias
    • reported vs converted change scores for effect estimates
    • studies of participants receiving disability benefits or involved in litigation vs those who were not receiving disability benefits or involved in litigation
    • enriched enrollment trials vs not enriched (studies that excluded patients who reported no improvement, had problematic adverse events, or both during an open-label run-in period)
    • trials with longer vs shorter (<3 months vs ≥3 months) follow-up
    • higher vs lower doses of opioid
    • trials of combination products (opioid and acetaminophen) vs trials of opioids alone.
    • conditions associated with objective findings or not
    • neuropathic vs nociceptive vs central sensitization
    • neuropathic vs non neuropathic

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Method and Result:Evaluation And Summary Of The Evidence

Forest Plots

Subgroup analysis

Evidence Evaluation

Method

  • The Grading of Recommendations Assessment,Development and Evaluation was used to summarize the quality of evidence on an outcome-by-outcome basis as high, moderate, low, or very low

Result

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Method and Result:Evaluation And Summary Of The Evidence ( vs Placebo)

Pain Relief

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P = 0.04 for interaction

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Method and Result:Evaluation And Summary Of The Evidence ( vs Placebo)

Pain Relief

Result

Although the difference did not reach the minimally important difference of 1 cm, opioids were associated with pain relief compared with placebo (weighted mean difference, −0.79 cm [95% CI, −0.90 to −0.68 cm] on a 10-cm VAS for pain, P < .001; modeled risk difference for achieving the minimally important difference, 13.6% [95% CI, 11.8% to 15.4%]). Studies with longer follow-up reported less pain relief (eFigures 1 and 2 in Supplement 2; P = .04 for interaction).

High-quality evidence from 42 RCTs that followed up patients for 3 months or longer (16617 patients). Opioids were associated with pain relief compared with placebo (weighted mean difference,−0.69 cm[95%CI,−0.82 to −0.56cm] on a 10-cm VAS for pain, P<.001, not reach the minimum important difference of 1 cm with acceptable heterogeneity modeled risk difference for achieving the minimally important difference, 11.9% [95% CI, 9.7% to 14.1%]

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Method and Result:Evaluation And Summary Of The Evidence ( vs Placebo)

Physical Functioning

Result

High-quality evidence from 51RCTs (15754 patients) showed opioids were associated with a small improvement in physical functioning compared with placebo, but did not meet the criterion for the minimally important difference (weighted mean difference, 2.04 points [95% CI, 1.41-2.68 points] on the 100-point SF-36 physical component score, P < .001 with acceptable heterogeneity; minimally important difference, 5 points; modeled risk difference for achieving the minimally important difference, 8.5% [95% CI, 5.9%-11.2%]

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Method and Result:Evaluation And Summary Of The Evidence ( vs Placebo)

Emotional Functioning

Result

High quality evidence from 23 RCTs (8962 patients). Opioids were not significantly associated with emotional functioning compared with placebo (weighted mean difference, 0.14 points [95% CI, −0.58 to 0.86 points] on the 100-point SF-36 mental component score, P = .70) reporting actual change scores indicated that opioids were not associated with emotional functioning (weighted mean difference, −0.44 points [95% CI, −1.09 to 0.20 points] on the 100-point SF-36 mental component score, P = .53).

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Method and Result:Evaluation And Summary Of The Evidence ( vs Placebo)

Role Functioning

Result

Opioids were associated with improved role functioning compared with placebo (weighted mean difference, 2.80 points [95% CI, 0.99 to 4.61 points] on the 100-point SF-36 subscale for role limitations due to physical problems, P < .001); however, the association was smaller in studies with reported vs converted change scores (eFigure 9 in Supplement 2; P = .007 for interaction). When restricted to trials reporting actual change, high-quality evidence from 16 RCTs (5329 patients) demonstrated no association of opioids on role functioning compared with placebo (weighted mean difference, 0.87 points [95% CI, −0.54 to 2.28 points] on the 100-point SF-36 subscale for role limitations due to physical problems, P = .23; Table).

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Method and Result:Evaluation And Summary Of The Evidence ( vs Placebo)

Social Functioning

Result

High-quality evidence from 29 RCTs (7623 patients) showed an association of opioids with improved social functioning compared with placebo but did not meet the minimally important difference criterion (weighted mean difference, 1.58 points [95% CI, 0.45-2.70 points] on the 100-point SF-36 subscale for social functioning, P = .006;minimally important difference, 10 points; modeled risk difference for achieving the minimally important difference, 2.6% [95% CI, 0.7%-4.5%];

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Method and Result:Evaluation And Summary Of The Evidence ( vs Placebo)

Sleep Quality

Result

Opioids were associated with improved sleep quality compared with placebo (weighted mean difference, 4.56 mm [95% CI, 2.88-6.24 mm] on the SF-36 sleep quality 100-mm VAS, P < .001; minimally important difference, 10 mm; modeled risk difference for achieving the minimally important difference, 5.9% [95% CI, 3.7%-8.1%]; however, the association was smaller in studies with longer follow-up ( P = .03 for interaction). High-quality evidence from 15 RCTs (6585 patients) with follow-up lasting 3 months or longer found that opioids were associated with a small improvement in sleep quality compared with placebo but did not meet the criterion for the minimally important difference (weighted mean difference, 3.42 mm [95% CI, 1.58-5.26 mm] on the SF-36 sleep quality 100-mm VAS, P < .001; modeled risk difference for the minimally important difference, 5.9% [95% CI, 2.8%-9.1%]).

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P = .03 for interaction

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Method and Result:Evaluation And Summary Of The Evidence ( vs Placebo)

Vomiting

Result

Opioids were associated with an increased incidence of vomiting; however, this association was less in the 18 enrichment RCTs (5961 patients) compared with placebo (RR, 2.50 [95% CI, 1.89-3.30], P < .001; risk difference, 3.6% [95% CI, 2.1%- 5.4%]) than in 33 nonenrichment RCTs (11 268 patients) compared with placebo (RR, 4.12 [95% CI, 3.34-5.07], P < .001; risk difference, 7.1% [95% CI, 5.4%-9.3%]; P = .007 for interaction). At least 20 RCTs reported each of the following adverse events: nausea, constipation, dizziness, drowsiness, headache, pruritus, and dry mouth. Except for headache, opioid use was associated with a higher incidence of these adverse events compared with placebo.

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Method and Result:Evaluation And Summary Of The Evidence ( vs Active Comparators)

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Method and Result:Evaluation And Summary Of The Evidence ( vs Active Comparators)

Opioids vs Nonsteroidal Anti-Inflammatory Drugs Result:

Moderate-quality evidence from 9 RCTs (1431 patients) showed no difference in the association of opioids vs nonsteroidal antiinflammatory drugs for pain relief (weighted mean difference, −0.60 cm [95% CI, −1.54 to 0.34 cm] on the 10-cm VAS for pain, P = .21). Moderate-quality evidence from 7 RCTs (1311 patients) suggested no difference in physical functioning between opioids and nonsteroidal anti-inflammatory drugs (weightedmean difference, −0.90 points [95% CI, −2.69 to 0.89 points] on the 100-point SF-36 physical component score, P = .33). High-quality evidence from 5 RCTs (2632 patients) showed an association of opioids with vomiting compared with nonsteroidal anti-inflammatory drugs (RR, 4.71 [95% CI, 2.92 to 7.60], P < .001; risk difference, 6.3% [95% CI, 3.2% to 11.1%]

Other Results summary:

Compared with tricyclic antidepressants drug (low-quality; low-quality)

pain:WMD,−0.13cm[95%CI,−0.99to0.74cm];Physical functioning: WMD,−5.31points [95%CI,−13.77 to 3.14points]

Compared with anticonvulsants drug (moderate-quality; low-quality)

pain:WMD,−0.90cm[95%CI,−1.65to−0.14cm]; physical functioning: WMD,0.45points [95%CI,−5.77 to 6.66points]

Compared with synthetic cannabinoids (low-quality; low-quality)

pain:WMD, −0.13 cm [95% CI, −1.04 to 0.77 cm]; physical functioning: WMD, −1.2 points [95% CI,−4.50 to 2.10points]

Compared with usual care (low-quality; low-quality)

pain:WMD, −2.06 cm[95% CI,−2.65 to −1.48 cm]

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Method and Result:Interpretation And Determination Of The Overall Effecte

Funnel Plots

Subgroup analysis

Method

assessed publication bias by visual assessment of funnel plot asymmetry and by using the results from the Begg test

Result

Discussion

Conclusion

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Method and Result:Interpretation And Determination Of The Overall Effecte

Funnel Plots

Sensitivity test

Discussion

Conclusion

Method

conducted a post hoc sensitivity analysis using the Hartung-Knapp-Sidik-Jonkman method

Result

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Method and Result:Interpretation And Determination Of The Overall Effecte

Funnel Plots

Sensitivity test

Discussion

Conclusion

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Method and Result:Interpretation And Determination Of The Overall Effecte

Funnel Plots

Subgroup analysis

Discussion

Conclusion

Conclusion and relevant

In this meta-analysis of RCTs of patients with chronic noncancer pain, evidence from high-quality studies showed that opioid use was associated with statistically significant but small improvements in pain and physical functioning, and increased risk of vomiting compared with placebo. Comparisons of opioids with nonopioid alternatives suggested that the benefit for pain and functioning may be similar, although the evidence was from studies of only low to moderate quality.

Meaning

Opioids may provide benefit for chronic noncancer pain, but the magnitude is likely to be small.

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Method and Result:Interpretation And Determination Of The Overall Effecte

Funnel Plots

Subgroup analysis

Strength

  • a comprehensive search for eligible RCTs in any language
  • data imputation for missing nonsignificant outcomes
  • use of minimally important differences
  • sensitivity analyses that addressed methodological differences, length of follow-up
  • reported vs converted change scores

Limitation

  • it was not possible to assess the long-term associations of opioids with chronic non cancer pain because no trial followed up patients for longer than 6 months.
  • none of the included studies provided rates of developing opioid use disorder and only 2 reported rates of overdose.
  • numerous outcomes and comparisons were evaluated, including subgroup analyses. Some findings might be statistically significant by chance.
  • subgroup effects could not be evaluated for opioids vs active comparators when there were less than 2 trials in each subgroup.
  • the modeling of risk difference for achieving the minimally important difference was based on assumptions that could not be directly assessed and might not have been met.

Discussion

Conclusion

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Limitation (continue)

  • heterogeneity associated with pooled estimates for pain relief and functional improvement among trials of opioids vs placebo may have reduced evidence quality. Evidence quality was not downgraded because the magnitude and direction of the effects was largely consistent.
  • the quality of the evidence ratings are largely subjective and some might disagree with our assessments.
  • although litigation and wage replacement benefits likely influence treatment effects, there were insufficient data in the included trials to make conclusions regarding these issues.
  • trials of opioid therapy for chronic noncancer pain excluded patients with current or prior substance use disorders or other active mental illness; however, more than half of opioids prescribed in the United States are for patients diagnosed with a mental health disorder

Method and Result:Interpretation And Determination Of The Overall Effecte

Funnel Plots

Subgroup analysis

Discussion

Conclusion

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Reference

[1] Scheidt S, Vavken P, Jacobs C, Koob S, Cucchi D, Kaup E, Wirtz DC, Wimmer MD. Systematic Reviews and Meta-analyses. Z Orthop Unfall. 2019 Aug;157(4):392-399. English, German. doi: 10.1055/a-0751-3156.

[2] Busse JW, Wang L, Kamaleldin M, Craigie S, Riva JJ, Montoya L, Mulla SM, Lopes LC, Vogel N, Chen E, Kirmayr K, De Oliveira K, Olivieri L, Kaushal A, Chaparro LE, Oyberman I, Agarwal A, Couban R, Tsoi L, Lam T, Vandvik PO, Hsu S, Bala MM, Schandelmaier S, Scheidecker A, Ebrahim S, Ashoorion V, Rehman Y, Hong PJ, Ross S, Johnston BC, Kunz R, Sun X, Buckley N, Sessler DI, Guyatt GH. Opioids for Chronic Noncancer Pain: A Systematic Review and Meta-analysis. JAMA. 2018 Dec 18;320(23):2448-2460. doi: 10.1001/jama.2018.18472.

[3] Arindam Basu. How to conduct meta-analysis: A Basic Tutorial. PeerJ Preprints. 2017 May. https://doi.org/10.7287/peerj.preprints.2978v1

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[6] Dowell D, Haegerich TM, Chou R. CDC guideline for prescribing opioids for chronic pain—United States, 2016. MMWR Recomm Rep. 2016;65(1):1-49. doi:10.15585/mmwr.rr6501e1

[7] Nielsen S, Degenhardt L, Hoban B, Gisev N. A synthesis of oral morphine equivalents (OME) for opioid utilisation studies. Pharmacoepidemiol Drug Saf. 2016;25(6):733-737. doi:10.1002/pds.3945

[8] Tendal B, Nüesch E, Higgins JP, Jüni P, Gøtzsche PC. Multiplicity of data in trial reports and the reliability of meta-analyses: empirical study. BMJ. 2011;343:d4829. doi:10.1136/bmj.d4829

[9] Breivik H, Ljosaa TM, Stengaard-Pedersen K, et al. A 6-months, randomised, placebo-controlled evaluation of efficacy and tolerability of a low-dose 7-day buprenorphine transdermal patch in osteoarthritis patients naïve to potent opioids.

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Q & A

52 of 52

Kexin Fu

4/25/2023 Journal Club

Thank You