Diseño | Pauta a utilizar |
Estudio de prevalencia | |
Identificación de factores de riesgo mediante estudio de casos y controles | |
Revisión sistemática de intervenciones | |
Revisión sistemática de estudios observacionales | |
Estudio con encuestas | Online Eysenbach, G., 2004. Improving the quality of Web surveys: the Checklist for Reporting Results of Internet E-Surveys (CHERRIES). J. Med. Internet Res. 6, e34. Otras Kelley, K., Clark, B., Brown, V., Sitzia, J., 2003. Good practice in the conduct and reporting of survey research. Int. J. Qual. Health Care 15, 261–266. |
Formato de Tesis, eliminar todo lo que está en color rojo
Introduction | ||
Background/rationale | 2 | Explain the scientific background and rationale for the investigation being reported |
Objectives | 3 | State specific objectives, including any prespecified hypotheses |
Methods | ||
Study design | 4 | Present key elements of study design early in the paper |
Setting | 5 | Describe the setting, locations, and relevant dates, including periods of recruitment, exposure, follow-up, and data collection |
Participants | 6 | (a) Give the eligibility criteria, and the sources and methods of selection of participants |
Variables | 7 | Clearly define all outcomes, exposures, predictors, potential confounders, and effect modifiers. Give diagnostic criteria, if applicable |
Data sources/ measurement | 8* | For each variable of interest, give sources of data and details of methods of assessment (measurement). Describe comparability of assessment methods if there is more than one group |
Bias | 9 | Describe any efforts to address potential sources of bias |
Study size | 10 | Explain how the study size was arrived at |
Quantitative variables | 11 | Explain how quantitative variables were handled in the analyses. If applicable, describe which groupings were chosen and why |
Statistical methods | 12 | (a) Describe all statistical methods, including those used to control for confounding |
(b) Describe any methods used to examine subgroups and interactions | ||
(c) Explain how missing data were addressed | ||
(d) If applicable, describe analytical methods taking account of sampling strategy | ||
(e) Describe any sensitivity analyses | ||
Introduction | ||
Background/rationale | 2 | Explain the scientific background and rationale for the investigation being reported |
Objectives | 3 | State specific objectives, including any prespecified hypotheses |
Methods | ||
Study design | 4 | Present key elements of study design early in the paper |
Setting | 5 | Describe the setting, locations, and relevant dates, including periods of recruitment, exposure, follow-up, and data collection |
Participants | 6 | (a) Give the eligibility criteria, and the sources and methods of selection of participants. Describe methods of follow-up |
(b) For matched studies, give matching criteria and number of exposed and unexposed | ||
Variables | 7 | Clearly define all outcomes, exposures, predictors, potential confounders, and effect modifiers. Give diagnostic criteria, if applicable |
Data sources/ measurement | 8* | For each variable of interest, give sources of data and details of methods of assessment (measurement). Describe comparability of assessment methods if there is more than one group |
Bias | 9 | Describe any efforts to address potential sources of bias |
Study size | 10 | Explain how the study size was arrived at |
Quantitative variables | 11 | Explain how quantitative variables were handled in the analyses. If applicable, describe which groupings were chosen and why |
Statistical methods | 12 | (a) Describe all statistical methods, including those used to control for confounding |
(b) Describe any methods used to examine subgroups and interactions | ||
(c) Explain how missing data were addressed | ||
(d) If applicable, explain how loss to follow-up was addressed | ||
(e) Describe any sensitivity analyses | ||
Introduction | ||
Background/rationale | 2 | Explain the scientific background and rationale for the investigation being reported |
Objectives | 3 | State specific objectives, including any prespecified hypotheses |
Methods | ||
Study design | 4 | Present key elements of study design early in the paper |
Setting | 5 | Describe the setting, locations, and relevant dates, including periods of recruitment, exposure, follow-up, and data collection |
Participants | 6 | (a) Give the eligibility criteria, and the sources and methods of case ascertainment and control selection. Give the rationale for the choice of cases and controls |
(b) For matched studies, give matching criteria and the number of controls per case | ||
Variables | 7 | Clearly define all outcomes, exposures, predictors, potential confounders, and effect modifiers. Give diagnostic criteria, if applicable |
Data sources/ measurement | 8* | For each variable of interest, give sources of data and details of methods of assessment (measurement). Describe comparability of assessment methods if there is more than one group |
Bias | 9 | Describe any efforts to address potential sources of bias |
Study size | 10 | Explain how the study size was arrived at |
Quantitative variables | 11 | Explain how quantitative variables were handled in the analyses. If applicable, describe which groupings were chosen and why |
Statistical methods | 12 | (a) Describe all statistical methods, including those used to control for confounding |
(b) Describe any methods used to examine subgroups and interactions | ||
(c) Explain how missing data were addressed | ||
(d) If applicable, explain how matching of cases and controls was addressed | ||
(e) Describe any sensitivity analyses | ||
Introduction | |||
Background and objectives | 2a | Scientific background and explanation of rationale | |
2b | Specific objectives or hypotheses | ||
Methods | |||
Trial design | 3a | Description of trial design (such as parallel, factorial) including allocation ratio | |
3b | Important changes to methods after trial commencement (such as eligibility criteria), with reasons | ||
Participants | 4a | Eligibility criteria for participants | |
4b | Settings and locations where the data were collected | ||
Interventions | 5 | The interventions for each group with sufficient details to allow replication, including how and when they were actually administered | |
Outcomes | 6a | Completely defined pre-specified primary and secondary outcome measures, including how and when they were assessed | |
6b | Any changes to trial outcomes after the trial commenced, with reasons | ||
Sample size | 7a | How sample size was determined | |
7b | When applicable, explanation of any interim analyses and stopping guidelines | ||
Randomisation: | |||
Sequence generation | 8a | Method used to generate the random allocation sequence | |
8b | Type of randomisation; details of any restriction (such as blocking and block size) | ||
Allocation concealment mechanism | 9 | Mechanism used to implement the random allocation sequence (such as sequentially numbered containers), describing any steps taken to conceal the sequence until interventions were assigned | |
Implementation | 10 | Who generated the random allocation sequence, who enrolled participants, and who assigned participants to interventions | |
Blinding | 11a | If done, who was blinded after assignment to interventions (for example, participants, care providers, those assessing outcomes) and how | |
11b | If relevant, description of the similarity of interventions | ||
Statistical methods | 12a | Statistical methods used to compare groups for primary and secondary outcomes | |
12b | Methods for additional analyses, such as subgroup analyses and adjusted analyses | ||
INTRODUCTION | ||
Rationale | 3 | Describe the rationale for the review in the context of what is already known. |
Objectives | 4 | Provide an explicit statement of questions being addressed with reference to participants, interventions, comparisons, outcomes, and study design (PICOS). |
METHODS | ||
Protocol and registration | 5 | Indicate if a review protocol exists, if and where it can be accessed (e.g., Web address), and, if available, provide registration information including registration number. |
Eligibility criteria | 6 | Specify study characteristics (e.g., PICOS, length of follow-up) and report characteristics (e.g., years considered, language, publication status) used as criteria for eligibility, giving rationale. |
Information sources | 7 | Describe all information sources (e.g., databases with dates of coverage, contact with study authors to identify additional studies) in the search and date last searched. |
Search | 8 | Present full electronic search strategy for at least one database, including any limits used, such that it could be repeated. |
Study selection | 9 | State the process for selecting studies (i.e., screening, eligibility, included in systematic review, and, if applicable, included in the meta-analysis). |
Data collection process | 10 | Describe method of data extraction from reports (e.g., piloted forms, independently, in duplicate) and any processes for obtaining and confirming data from investigators. |
Data items | 11 | List and define all variables for which data were sought (e.g., PICOS, funding sources) and any assumptions and simplifications made. |
Risk of bias in individual studies | 12 | Describe methods used for assessing risk of bias of individual studies (including specification of whether this was done at the study or outcome level), and how this information is to be used in any data synthesis. |
Summary measures | 13 | State the principal summary measures (e.g., risk ratio, difference in means). |
Synthesis of results | 14 | Describe the methods of handling data and combining results of studies, if done, including measures of consistency (e.g., I2) for each meta-analysis. |
Risk of bias across studies | 15 | Specify any assessment of risk of bias that may affect the cumulative evidence (e.g., publication bias, selective reporting within studies). |
Additional analyses | 16 | Describe methods of additional analyses (e.g., sensitivity or subgroup analyses, meta-regression), if done, indicating which were pre-specified. |
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