Evidence map›Paper›PMID 34044099›Full record

ArticleJournal of clinical epidemiology2021

PRIME-IPD SERIES Part 1. The PRIME-IPD tool promoted verification and standardization of study datasets retrieved for IPD meta-analysis.

Omar Dewidar, Alison Riddle, Elizabeth Ghogomu, Alomgir Hossain, Paul Arora, Zulfiqar A Bhutta, Robert E Black, Simon Cousens, Michelle F Gaffey, Christine Mathew and 4 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of clinical epidemiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 4 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Pooled it
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  3. Individual participant data meta-analysis versus aggregate data meta-analysis: A case study in eczema and food allergy prevention.Clinical and experimental allergy : journal of the British Society for Allergy and Clinical Immunology · 2022
    Pooled it
  4. Pooled it
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

14 authors.

Omar DewidarBruyère Research Institute, University of Ottawa, 85 Primrose Ave, Ottawa, Ontario, K1R 6M1, Canada; School of Epidemiology and Public Health, University of Ottawa, 600 Peter Morand Crescent, Ottawa, Ontario, K1G 5Z3, Canada. Electronic address: odewi090@uottawa.ca.
Alison RiddleBruyère Research Institute, University of Ottawa, 85 Primrose Ave, Ottawa, Ontario, K1R 6M1, Canada; School of Epidemiology and Public Health, University of Ottawa, 600 Peter Morand Crescent, Ottawa, Ontario, K1G 5Z3, Canada.
Elizabeth GhogomuBruyère Research Institute, University of Ottawa, 85 Primrose Ave, Ottawa, Ontario, K1R 6M1, Canada.
Alomgir HossainSchool of Epidemiology and Public Health, University of Ottawa, 600 Peter Morand Crescent, Ottawa, Ontario, K1G 5Z3, Canada; Department of Medicine (Cardiology), The University of Ottawa Heart Institute and University of Ottawa, 40 Ruskin Street, Ottawa, Ontario, K1Y 4W7, Canada.
Paul AroraDalla Lana School of Public Health, University of Toronto, 155 College St Room 500, Toronto, Ontario M5T 3M7, Canada.
Zulfiqar A BhuttaCentre for Global Child Health, Hospital for Sick Children, 555 University Ave, Toronto, Ontario, M5G 1X8, Canada; Institute for Global Health & Development, Aga Khan University, South-Central Asia, East Africa & United Kingdom, Karachi, Pakistan.
Robert E BlackDepartment of International Health, Johns Hopkins Bloomberg School of Public Health, 615N Wolfe St Suite E8545, Baltimore, MD, 21205, USA.
Simon CousensDepartment of Infectious Disease Epidemiology, London School of Hygiene and Tropical Medicine (LSHTM), Keppel Street, London, WC1E 7HT, UK.
Michelle F GaffeyCentre for Global Child Health, Hospital for Sick Children, 555 University Ave, Toronto, Ontario, M5G 1X8, Canada.
Christine MathewBruyère Research Institute, University of Ottawa, 85 Primrose Ave, Ottawa, Ontario, K1R 6M1, Canada.
Jessica TrawinBruyère Research Institute, University of Ottawa, 85 Primrose Ave, Ottawa, Ontario, K1R 6M1, Canada.
Peter TugwellClinical Epidemiology Program, Ottawa Hospital Research Institute, 501 Smyth Rd, Ottawa, Ontario K1H 8L6, Canada; Department of Medicine, University of Ottawa Faculty of Medicine, Roger Guindon Hall, 451 Smyth Rd #2044, Ottawa, Ontario, K1H 8M5, Canada; WHO Collaborating Centre for Knowledge Translation and Health Technology Assessment in Health Equity, Bruyère Research Institute, 85 Primrose Ave, Ottawa, Ontario, K1R 6M1, Canada; Cardiovascular Research Methods Centre, University of Ottawa Heart Institute, 40 Ruskin St, Ottawa, Ontario, K1Y 4W7, Canada.
Vivian WelchBruyère Research Institute, University of Ottawa, 85 Primrose Ave, Ottawa, Ontario, K1R 6M1, Canada; School of Epidemiology and Public Health, University of Ottawa, 600 Peter Morand Crescent, Ottawa, Ontario, K1G 5Z3, Canada; WHO Collaborating Centre for Knowledge Translation and Health Technology Assessment in Health Equity, Bruyère Research Institute, 85 Primrose Ave, Ottawa, Ontario, K1R 6M1, Canada.
George A WellsSchool of Epidemiology and Public Health, University of Ottawa, 600 Peter Morand Crescent, Ottawa, Ontario, K1G 5Z3, Canada; WHO Collaborating Centre for Knowledge Translation and Health Technology Assessment in Health Equity, Bruyère Research Institute, 85 Primrose Ave, Ottawa, Ontario, K1R 6M1, Canada; Cardiovascular Research Methods Centre, University of Ottawa Heart Institute, 40 Ruskin St, Ottawa, Ontario, K1Y 4W7, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesWe describe a systematic approach to preparing data in the conduct of Individual Participant Data (IPD) analysis. STUDY DESIGN AND

settingA guidance paper proposing methods for preparing individual participant data for meta-analysis from multiple study sources, developed by consultation of relevant guidance and experts in IPD. We present an example of how these steps were applied in checking data for our own IPD meta analysis (IPD-MA).

resultsWe propose five steps of Processing, Replication, Imputation, Merging, and Evaluation to prepare individual participant data for meta-analysis (PRIME-IPD). Using our own IPD-MA as an exemplar, we found that this approach identified missing variables and potential inconsistencies in the data, facilitated the standardization of indicators across studies, confirmed that the correct data were received from investigators, and resulted in a single, verified dataset for IPD-MA.

conclusionThe PRIME-IPD approach can assist researchers to systematically prepare, manage and conduct important quality checks on IPD from multiple studies for meta-analyses. Further testing of this framework in IPD-MA would be useful to refine these steps.

Indexed as

Guidelines as TopicReference StandardsReproducibility of ResultsData CollectionData Interpretation, StatisticalHumansMedical RecordsData PreparationData replicationEvidence SynthesisImputationIndividual participant dataMeta-analysisRandomized TrialsResearch methodology

Identifiers

PMID34044099
PMCPMC8442853

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.