Evidence map›Paper›PMID 35176502›Full record

ArticleContemporary clinical trials2022

Two-sample survival probability curves: A graphical approach for the analysis of time to event data in clinical trials.

Sandra Castro-Pearson, Chap T Le, Xianghua Luo

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Contemporary clinical trials, 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
–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

3 authors.

Sandra Castro-PearsonDivision of Biostatistics, University of Minnesota, 420 Delaware Street SE, Minneapolis, MN 55455, USA. Electronic address: cast0135@umn.edu.
Chap T LeDivision of Biostatistics, University of Minnesota, 420 Delaware Street SE, Minneapolis, MN 55455, USA; Masonic Cancer Center, University of Minnesota, Minneapolis, MN 55455, USA.
Xianghua LuoDivision of Biostatistics, University of Minnesota, 420 Delaware Street SE, Minneapolis, MN 55455, USA; Masonic Cancer Center, University of Minnesota, Minneapolis, MN 55455, USA.

Funding

Women's CancerP30CA077598 · NCI · UNIVERSITY OF MINNESOTA TWIN CITIES · PI Jeffrey S. Miller · 1998 to 2026
$100.4M
Trial Design and Biostatistical Support CoreP01CA065493 · NCI · UNIVERSITY OF MINNESOTA TWIN CITIES · PI J SUNIL RAO · 1995 to 2026
$48.2M
Easy-to-read Informed Consent for HCT Clinical TrialsU10HL069294 · NHLBI · MEDICAL COLLEGE OF WISCONSIN · PI HOROWITZ, MARY MARESCA · 2011 to 2016
$43.8M
Therapeutic Potential of Adaptive NK Cells in Cancer and TransplantationP01CA111412 · NCI · UNIVERSITY OF MINNESOTA TWIN CITIES · PI FELICES, MARTIN · 2005 to 2025
$38.2M
University of Minnesota Clinical and Translational Science Institute (UMN CTSI)UL1TR002494 · NCATS · UNIVERSITY OF MINNESOTA · PI BLAZAR, BRUCE R, WEISDORF, DANIEL J · 2018 to 2022
$34.9M
Training in Biostatistics for Heart, Lung and Blood Disease ResearchT32HL129956 · NHLBI · UNIVERSITY OF MINNESOTA · PI NEATON, JAMES DENNIS · 2016 to 2020
$1.1M
NCATS NIH HHS UL1 TR002494NCI NIH HHS P01 CA065493NCI NIH HHS P01 CA111412NCI NIH HHS P30 CA077598NHLBI NIH HHS T32 HL129956NHLBI NIH HHS U10 HL069294
6 · The paper itself

Abstract

With the aim to improve the communication of trial results, we introduce a novel graphical approach that complements the analysis of time to event outcomes in two-arm randomized trials. We define the so-called two-sample survival probability curve and propose a nonparametric estimator of the curve based on a random walk using Kaplan-Meier survival estimates for the two arms. We then use the estimated curve to visualize treatment effect as well as potential effect modification of factors of interest. We also propose to estimate two-sample survival probability curves within the framework of the Cox model to graphically assess model fit. The proposed two-sample survival probability plot puts trials in a standardized [0,1] × [0,1] space, allowing for a simple visualization of the main effect, effect modification, and the adequacy of a model fit.

Indexed as

Survival AnalysisClinical Trials as TopicHumansKaplan-Meier EstimateProbabilityProportional Hazards ModelsFailure timesHazard ratiosKaplan-MeierROCSurvival analysisTime to event

Identifiers

PMID35176502
PMCPMC9018539

What OpenQuestion holds

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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.