Evidence map›Paper›PMID 34309564›Full record

ArticleJournal of medical Internet research2021

Web-Based Survival Analysis Tool Tailored for Medical Research (KMplot): Development and Implementation.

András Lánczky, Balázs Győrffy

Abstract read
In one paragraph

Article in Journal of medical Internet research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1,061 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1,061citing papers in PubMed, 2 pooled it
–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

1,061 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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  16. MiR-940 Suppresses Ferroptosis by Controlling Expression of Key Regulatory Genes.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
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1,001 more citing papers are in PubMed but not listed here.

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.

András LánczkyDepartment of Bioinformatics, Semmelweis University, Budapest, Hungary.ORCID 0000-0002-2600-7038
Balázs GyőrffyDepartment of Bioinformatics, Semmelweis University, Budapest, Hungary.ORCID 0000-0002-5772-3766

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSurvival analysis is a cornerstone of medical research, enabling the assessment of clinical outcomes for disease progression and treatment efficiency. Despite its central importance, no commonly used spreadsheet software can handle survival analysis and there is no web server available for its computation.

objectiveHere, we introduce a web-based tool capable of performing univariate and multivariate Cox proportional hazards survival analysis using data generated by genomic, transcriptomic, proteomic, or metabolomic studies.

methodsWe implemented different methods to establish cut-off values for the trichotomization or dichotomization of continuous data. The false discovery rate is computed to correct for multiple hypothesis testing. A multivariate analysis option enables comparing omics data with clinical variables.

resultsWe established a registration-free web-based survival analysis tool capable of performing univariate and multivariate survival analysis using any custom-generated data.

conclusionsThis tool fills a gap and will be an invaluable contribution to basic medical and clinical research.

Indexed as

Biomedical ResearchProteomicsHumansInternetSoftwareSurvival AnalysisCox regressionfollow-upinternetKaplan-Meier plotmultivariate analysissurvival

Identifiers

PMID34309564
PMCPMC8367126

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LicenceCC BY
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Registered trials

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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.