Evidence map›Paper›PMID 33737982›Full record

ArticleStatistics in biosciences2020

Measuring Surrogacy in Clinical Research: With an application to studying surrogate markers for HIV Treatment-as-Prevention.

Rui Zhuang, Ying Qing Chen

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Statistics in biosciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.7field-weighted citation impact, top 28% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. 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

2 authors at 2 institutions in 1 country.

Rui ZhuangUniversity of Washington, Seattle, WA 98195.
Ying Qing ChenVaccine and Infectious Disease Division and Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington 98109, U. S. A.
Fred Hutch Cancer Center · USUniversity of Washington · US

Funding

STATISTICAL ISSUES IN AIDS RESEARCHR37AI029168 · NIAID · UNIVERSITY OF WASHINGTON · PI JAMES P HUGHES · 1999 to 2026
$9.8M
STATISTICAL ISSUES IN AIDS RESEARCHR01AI029168 · NIAID · UNIVERSITY OF WASHINGTON · PI HUGHES, JAMES P · 1989 to 2018
$5.3M
Statistical Methods for Adherence Issues in HIV Prevention ResearchR01AI121259 · NIAID · FRED HUTCHINSON CANCER RESEARCH CENTER · PI CHEN, YING QING · 2015 to 2018
$2.5M
Statistical Methods for Combination HIV Prevention ApproachesR01MH105857 · NIMH · FRED HUTCHINSON CANCER RESEARCH CENTER · PI CHEN, YING QING · 2014 to 2018
$2.4M
NIAID NIH HHS R01 AI029168NIAID NIH HHS R01 AI121259NIAID NIH HHS R37 AI029168NIMH NIH HHS R01 MH105857
6 · The paper itself

Abstract

In clinical research, validated surrogate markers are highly desirable in study design, monitoring, and analysis, as they do not only reduce the required sample size and follow-up duration, but also facilitate scientific discoveries. However, challenges exist to identify a reliable marker. One particular statistical challenge arises on how to measure and rank the surrogacy of potential markers quantitatively. We review the main statistical methods for evaluating surrogate markers. In addition, we suggest a new measure, the so-called "population surrogacy fraction of treatment effect," or simply the

Indexed as

Population attributable fractionProportion of treatment effect explainedRandomized trialSurrogate marker

Identifiers

PMID33737982
PMCPMC7962622
OpenAlexW2948328619

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.