Evidence map›Paper›PMID 35821911›Full record

ArticleThe R journal2021

stratamatch: Prognostic Score Stratification Using a Pilot Design.

Rachael C Aikens, Joseph Rigdon, Justin Lee, Michael Baiocchi, Andrew B Goldstone, Peter Chiu, Y Joseph Woo, Jonathan H Chen

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in The R journal, 2021. 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

8 authors.

Rachael C AikensStanford University.
Joseph RigdonWake Forest.
Justin LeeStanford University.
Michael BaiocchiStanford University.
Andrew B GoldstoneStanford University.
Peter ChiuStanford University.
Y Joseph WooStanford University.
Jonathan H ChenStanford University.

Funding

Biomedical Data Science Graduate Training at StanfordT32LM012409 · NLM · STANFORD UNIVERSITY · PI PLEVRITIS, SYLVIA KATINA · 2016 to 2020
$1.5M
Data-Mining Clinical Decision Support from Electronic Health RecordsK01ES026837 · NIEHS · STANFORD UNIVERSITY · PI CHEN, JONATHAN H. · 2015 to 2019
$893k
NIEHS NIH HHS K01 ES026837NLM NIH HHS T32 LM012409
6 · The paper itself

Abstract

In a block-randomized controlled trial, individuals are subdivided by prognostically important baseline characteristics (e.g., age group, sex, or smoking status), prior to randomization. This step reduces the heterogeneity between the treatment groups with respect to the baseline factors most important to determining the outcome, thus enabling more precise estimation of treatment effect. The

Indexed as

causal inferencematchingpilot designsprognostic scoreRstratification

Identifiers

PMID35821911
PMCPMC9273035

What OpenQuestion holds

Textmetadata
LicenceTDM
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.