Evidence map›Paper›PMID 35984046›Full record

ReviewPharmacoepidemiology and drug safety2022

Visualizations throughout pharmacoepidemiology study planning, implementation, and reporting.

Nicolle M Gatto, Shirley V Wang, William Murk, Pattra Mattox, M Alan Brookhart, Andrew Bate, Sebastian Schneeweiss, Jeremy A Rassen

Abstract readReview
In one paragraph

Review in Pharmacoepidemiology and drug safety, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
–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

13 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Potential bias in observational PCSK9 inhibitor study.European heart journal. Cardiovascular pharmacotherapy · 2025
    Article
  5. Real-world evidence: state-of-the-art and future perspectives.Journal of comparative effectiveness research · 2025
    Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Pharmacoepidemiology: An Overview.Journal of clinical medicine · 2023
    Review
  13. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Nicolle M GattoAetion, New York, New York, USA.ORCID 0000-0002-9659-7811
Shirley V WangHarvard Medical School, Brigham and Women's Hospital, Boston, Massachusetts, USA.ORCID 0000-0001-7761-7090
William MurkJacobs School of Medicine & Biological Sciences, University at Buffalo, Buffalo, New York, USA.
Pattra MattoxAetion, New York, New York, USA.ORCID 0000-0001-7768-1383
M Alan BrookhartPopulation Health Sciences, School of Medicine, Duke University, Durham, North Carolina, USA.
Andrew BateGSK, London, UK.ORCID 0000-0003-3151-3653
Sebastian SchneeweissHarvard Medical School, Brigham and Women's Hospital, Boston, Massachusetts, USA.ORCID 0000-0003-2575-467X
Jeremy A RassenAetion, New York, New York, USA.ORCID 0000-0003-4369-7381

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Transparency is increasingly promoted to instill trust in nonrandomized studies using real-world data. Graphics and data visualizations support transparency by aiding communication and understanding, and can inform study design and analysis decisions. However, other than graphical representation of a study design and flow diagrams (e.g., a Consolidated Standards of Reporting Trials [CONSORT] like diagram), specific standards on how to maximize validity and transparency with visualization are needed. This paper provides guidance on how to use visualizations throughout the life cycle of a pharmacoepidemiology study-from initial study design to final report-to facilitate rationalized and transparent decision-making about study design and implementation, and clear communication of study findings. Our intent is to help researchers align their practices with current consensus statements on transparency.

Indexed as

PharmacoepidemiologyResearch DesignConsensusHumansReference StandardsResearch Personneldata visualizationsgraphspharmacoepidemiology

Identifiers

PMID35984046
PMCPMC9826437

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.