Evidence map›Paper›PMID 40036894›Full record

ArticleAmerican journal of epidemiology2025

Note on targeted learning with an undersmoothed Lasso propensity score model for large-scale covariate adjustment in health care database studies.

Richard Wyss, Mark van der Laan, Susan Gruber, Xu Shi, Hana Lee, Sarah K Dutcher, Jennifer C Nelson, Sengwee Toh, Massimiliano Russo, Shirley V Wang and 2 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in American journal of epidemiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

12 authors.

Richard WyssDivision of Pharmacoepidemiology and Pharmacoeconomics, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02120, United States.
Mark van der LaanDivision of Biostatistics, School of Public Health, University of California, Berkeley, CA 94720, United States.
Susan GruberPutnam Data Sciences, LLC, Cambridge, MA 02139, United States.
Xu ShiDepartment of Biostatistics, School of Public Health, University of Michigan, Ann Arbor, MI 48109, United States.
Hana LeeOffice of Biostatistics, Center for Drug Evaluation and Research, U.S. Food and Drug Administration, Silver Spring, MD 20903, United States.
Sarah K DutcherOffice of Surveillance and Epidemiology, Center for Drug Evaluation and Research, U.S. Food and Drug Administration, Silver Spring, MD 20903, United States.
Jennifer C NelsonKaiser Permanente Washington Health Research Institute, Seattle, WA 98101 United States.
Sengwee TohDepartment of Population Medicine, Harvard Pilgrim Health Care Institute, Harvard Medical School, Boston, MA 02215 United States.ORCID 0000-0002-5160-0810
Massimiliano RussoDivision of Pharmacoepidemiology and Pharmacoeconomics, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02120, United States.ORCID 0000-0003-4953-9341
Shirley V WangDivision of Pharmacoepidemiology and Pharmacoeconomics, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02120, United States.
Rishi J DesaiDivision of Pharmacoepidemiology and Pharmacoeconomics, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02120, United States.
Kueiyu Joshua LinDivision of Pharmacoepidemiology and Pharmacoeconomics, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02120, United States.

Funding

FDA HHSFDA HHS 75F40119F19002NIH HHS RO1LM013204
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

causal inferenceconfoundinglassopropensity scoretargeted learning

Identifiers

PMID40036894
PMCPMC13016683

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.