Evidence map›Paper›PMID 40587415›Full record

ArticleInternational journal of epidemiology2025

Revisiting representativeness.

Haidong Lu, Paul N Zivich, Jacqueline E Rudolph, Zeyan Liew, Bhramar Mukherjee, Fan Li

Abstract read
In one paragraph

Article in International journal of epidemiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
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

6 authors.

Haidong LuSection of General Internal Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, CT, United States.ORCID 0000-0002-7908-2517
Paul N ZivichDepartment of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States.
Jacqueline E RudolphDepartment of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, United States.ORCID 0000-0001-7177-1847
Zeyan LiewDepartment of Environmental Health Sciences, Yale School of Public Health, New Haven, CT, United States.ORCID 0000-0002-9424-7869
Bhramar MukherjeeDepartment of Biostatistics, Yale School of Public Health, New Haven, CT, United States.
Fan LiDepartment of Biostatistics, Yale School of Public Health, New Haven, CT, United States.ORCID 0000-0001-6183-1893

Funding

Medicaid data as a complement to cohort studies for investigating cancers among older people with HIVR01CA250851 · NCI · JOHNS HOPKINS UNIVERSITY · PI Corinne E. Joshu, Bryan Lau · 2020 to 2026
$4.8M
At the Intersection of HIV and COVID-19: Medicaid Data as a Complement to Cohort StudiesR01AI170240 · NIAID · JOHNS HOPKINS UNIVERSITY · PI JOSHU, CORINNE E., LAU, BRYAN · 2022 to 2025
$3.8M
The short and long-term dynamics of opioid/stimulant use: Mixed methods to informoverdose prevention and treatment related to polysubstance useR01DA057673 · NIDA · JOHNS HOPKINS UNIVERSITY · PI DANIELLE GERMAN, Becky Lynn Genberg · 2022 to 2026
$3.6M
Combining sources of information to improve HIV pre-exposure prophylaxisK01AI177102 · NIAID · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Paul Nicholas Zivich · 2023 to 2026
$545k
Evaluating and Optimizing Care for Opioid Use Disorder using a Structured Data-Science ApproachK99DA057487 · NIDA · YALE UNIVERSITY · PI LU, HAIDONG · 2023 to 2024
$327k
NIH HHS K01AI177102NIH HHS K99DA057487NIH HHS R01AI170240NIH HHS R01CA250851NIH HHS R01DA057673
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Identifiers

PMID40587415
PMCPMC12208074

What OpenQuestion holds

Textmetadata
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.