Evidence map›Paper›PMID 28913963›Full record

ArticlePharmacoepidemiology and drug safety2017

Reporting to Improve Reproducibility and Facilitate Validity Assessment for Healthcare Database Studies V1.0.

Shirley V Wang, Sebastian Schneeweiss, Marc L Berger, Jeffrey Brown, Frank de Vries, Ian Douglas, Joshua J Gagne, Rosa Gini, Olaf Klungel, C Daniel Mullins and 5 more

Erratum issued Registry-linked trialAbstract read
In one paragraph

Article in Pharmacoepidemiology and drug safety, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. It is linked to trial NCT04212390 (Personalized Medicine Program on Myelodysplastic Syndromes), which is not on this map. Cited by 83 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
83citing 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.

NCT04212390 completednot on this mapstarted 2020, after this paper: background citation

Personalized Medicine Program on Myelodysplastic Syndromes: Characterization of the Patient's Genome for Clinical Decision Making and Systematic Collection of Real World Data to Improve Quality of Health Care

TypeobservationalSponsorFondazione Italiana Sindromi Mielodisplastiche-ETSRan2020 to 2024Enrolled1,000ConditionsMDS (Myelodysplastic Syndrome)
3 · Its place in the literature

Who cites it

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

  1. Pooled it
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  5. Observational
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  11. A scoping review of real-world evidence generation methods to estimate the safety of type 2 diabetes medications on fracture risk.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2026
    Article
  12. Article
  13. Review
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  17. Assessing the replicability of RCTs in RWE emulations.BMC medical research methodology · 2025
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  20. Article

23 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

15 authors.

Shirley V WangDivision of Pharmacoepidemiology and Pharmacoeconomics, Brigham and Women's Hospital, MA, USA.ORCID 0000-0001-7761-7090
Sebastian SchneeweissDivision of Pharmacoepidemiology and Pharmacoeconomics, Brigham and Women's Hospital, MA, USA.
Marc L BergerPfizer, NY, USA.
Jeffrey BrownDepartment of Population Medicine, Harvard Medical School, MA, USA.
Frank de VriesDepartment of Clinical Pharmacy, Maastricht UMC+, The Netherlands.
Ian DouglasLondon School of Hygiene and Tropical Medicine, England, UK.
Joshua J GagneDivision of Pharmacoepidemiology and Pharmacoeconomics, Brigham and Women's Hospital, MA, USA.ORCID 0000-0001-5428-9733
Rosa GiniAgenzia regionale di sanità della Toscana, Florence, Italy.
Olaf KlungelDivision of Pharmacoepidemiology & Clinical Pharmacology, Utrecht University, Utrecht, Netherlands.
C Daniel MullinsPharmaceutical Health Services Research Department, University of Maryland School of Pharmacy, MA, USA.
Michael D NguyenFDA Center for Drug Evaluation and Research, USA.
Jeremy A RassenAetion, Inc., NY, USA.
Liam SmeethLondon School of Hygiene and Tropical Medicine, England, UK.
Miriam SturkenboomErasmus University Medical Center Rotterdam, Netherlands.
joint ISPE-ISPOR Special Task Force on Real World Evidence in Health Care Decision Making

Funding

Medical Research Council G0802403
6 · The paper itself

Abstract

purposeDefining a study population and creating an analytic dataset from longitudinal healthcare databases involves many decisions. Our objective was to catalogue scientific decisions underpinning study execution that should be reported to facilitate replication and enable assessment of validity of studies conducted in large healthcare databases.

methodsWe reviewed key investigator decisions required to operate a sample of macros and software tools designed to create and analyze analytic cohorts from longitudinal streams of healthcare data. A panel of academic, regulatory, and industry experts in healthcare database analytics discussed and added to this list.

conclusionEvidence generated from large healthcare encounter and reimbursement databases is increasingly being sought by decision-makers. Varied terminology is used around the world for the same concepts. Agreeing on terminology and which parameters from a large catalogue are the most essential to report for replicable research would improve transparency and facilitate assessment of validity. At a minimum, reporting for a database study should provide clarity regarding operational definitions for key temporal anchors and their relation to each other when creating the analytic dataset, accompanied by an attrition table and a design diagram. A substantial improvement in reproducibility, rigor and confidence in real world evidence generated from healthcare databases could be achieved with greater transparency about operational study parameters used to create analytic datasets from longitudinal healthcare databases.

Indexed as

Delivery of Health CareDatabases, FactualData CollectionHumansReproducibility of ResultsSoftwarehealthcare databaseslongitudinal datamethodspharmacoepidemiologyreplicationreproducibilityTransparency

Identifiers

PMID28913963
PMCPMC5639362

What OpenQuestion holds

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Read underepoch 390

Registered trials

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.