Evidence map›Paper›PMID 36520950›Full record

Observational studyPloS one2022

Transporting observational study results to a target population of interest using inverse odds of participation weighting.

Albee Y Ling, Rana Jreich, Maria E Montez-Rath, Zhaoling Meng, Kris Kapphahn, Karen J Chandross, Manisha Desai

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in PloS one, 2022. 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
0.8field-weighted citation impact, top 27% of its field
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, 5 citations in OpenAlex.

  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

7 authors at 2 institutions in 1 country.

Albee Y LingDivision of Biomedical Informatics Research, Department of Medicine, Quantitative Sciences Unit, Stanford University School of Medicine, Palo Alto, CA, United States of America.ORCID 0000-0002-3814-5307
Rana JreichSanofi, Bridgewater, NJ, United States of America.
Maria E Montez-RathDivision of Nephrology, Department of Medicine, Stanford University School of Medicine, Palo Alto, CA, United States of America.
Zhaoling MengSanofi, Bridgewater, NJ, United States of America.
Kris KapphahnDivision of Biomedical Informatics Research, Department of Medicine, Quantitative Sciences Unit, Stanford University School of Medicine, Palo Alto, CA, United States of America.
Karen J ChandrossSanofi, Bridgewater, NJ, United States of America.
Manisha DesaiDivision of Biomedical Informatics Research, Department of Medicine, Quantitative Sciences Unit, Stanford University School of Medicine, Palo Alto, CA, United States of America.
Stanford University · USSanofi (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Inverse odds of participation weighting (IOPW) has been proposed to transport clinical trial findings to target populations of interest when the distribution of treatment effect modifiers differs between trial and target populations. We set out to apply IOPW to transport results from an observational study to a target population of interest. We demonstrated the feasibility of this idea with a real-world example using a nationwide electronic health record derived de-identified database from Flatiron Health. First, we conducted an observational study that carefully adjusted for confounding to estimate the treatment effect of fulvestrant plus palbociclib relative to letrozole plus palbociclib as a second-line therapy among estrogen receptor (ER)-positive, human epidermal growth factor receptor (HER2)-negative metastatic breast cancer patients. Second, we transported these findings to the broader cohort of patients who were eligible for a first-line therapy. The interpretation of the findings and validity of such studies, however, rely on the extent that causal inference assumptions are met.

Indexed as

Breast NeoplasmsErb-b2 Receptor Tyrosine KinasesAntineoplastic Combined Chemotherapy ProtocolsFemaleHumansLetrozolePiperazinesPyridinesReceptors, EstrogenErb-b2 Receptor Tyrosine KinasesLetrozolePiperazinesPyridinesReceptors, Estrogen

Identifiers

PMID36520950
PMCPMC9754161
OpenAlexW4311601710

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.