Evidence map›Paper›PMID 34228318›Full record

ArticleTherapeutic innovation & regulatory science2021

Ascertaining Nonfatal Endpoints in Clinical Trials: Central Adjudication Versus Patient Insurance Claims.

Eric L Eisenstein, Meredith N Zozus, Sharon F Terry, Linda Davidson-Ray, Kevin J Anstrom

Abstract read
PubMed Publisher
In one paragraph

Article in Therapeutic innovation & regulatory science, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 90% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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

5 authors at 3 institutions in 1 country.

Eric L EisensteinDuke Clinical Research Institute, 31 Innisfree Dr., Durham, NC, 27707, USA. eric.eisenstein@duke.edu.ORCID 0000-0003-0216-428X
Meredith N ZozusUniversity of Texas Health Science Center at San Antonio, San Antonio, TX, USA.
Sharon F TerryGenetic Alliance, Washington, DC, USA.
Linda Davidson-RayDuke Clinical Research Institute, 31 Innisfree Dr., Durham, NC, 27707, USA.
Kevin J AnstromDuke Clinical Research Institute, 31 Innisfree Dr., Durham, NC, 27707, USA.
Clinical Research Institute · USGenetic Alliance · USThe University of Texas Health Science Center at San Antonio · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe 21st Century Cures Act allows the US Food and Drug Administration (FDA) to utilize real-world data (RWD) to create real-world evidence (RWE) for new indications or post approval study requirements. We compared central adjudication with two insurance claims data sources to understand how endpoint accuracy differences impact RWE results.

methodsWe developed a decision analytic model to compare differences in efficacy (all-cause death, stroke and myocardial infarction) and safety (bleeding requiring transfusion) results for a simulated acute coronary syndrome antiplatelet therapy clinical trial. Endpoint accuracy metrics were derived from previous studies that compared centrally-adjudicated and insurance claims-based clinical trial endpoints.

resultsEfficacy endpoint results per 100 patients were similar for the central adjudication model (intervention event rate, 11.3; control, 13.7; difference, 2.4) and the prospective claims data collection model (intervention event rate, 11.2; control 13.6; difference, 2.3). However, the retrospective claims linking model's efficacy results were larger (intervention event rate, 14.6; control, 18.0; difference, 3.4). True positive event rate results (intervention, control and difference) for both insurance claims-based models were less than the central adjudication model due to false negative events. Differences in false positive event rates were responsible for differences in efficacy results for the two insurance claims-based models.

conclusionEfficacy endpoint results differed by data source. Investigators need guidance to determine which data sources produce regulatory-grade RWE.

Indexed as

InsuranceMyocardial InfarctionStrokeHumansProspective StudiesRetrospective StudiesAdministrative claimsData collectionData qualityMeasurement accuracyReal world dataReal world evidence

Identifiers

PMID34228318
OpenAlexW3178029572

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.