Evidence map›Paper›PMID 35257603›Full record

ArticleStatistical methods in medical research2022

Benchmarking survival outcomes: A funnel plot for survival data.

Hein Putter, Dirk-Jan Eikema, Liesbeth C de Wreede, Eoin McGrath, Isabel Sánchez-Ortega, Riccardo Saccardi, John A Snowden, Erik W van Zwet

Abstract read
In one paragraph

Article in Statistical methods in medical research, 2022. 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
–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

2 citing papers in PubMed.

  1. Predictors and Significance of Readmission after Esophagogastric Surgery: A Nationwide Analysis.Annals of surgery open : perspectives of surgical history, education, and clinical approaches · 2024
    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

8 authors.

Hein PutterDepartment of Biomedical Data Sciences, Leiden University Medical Center, the Netherlands.ORCID 0000-0001-5395-1422
Dirk-Jan EikemaDepartment of Biomedical Data Sciences, Leiden University Medical Center, the Netherlands.
Liesbeth C de WreedeDepartment of Biomedical Data Sciences, Leiden University Medical Center, the Netherlands.
Eoin McGrathEBMT, Barcelona, Spain.
Isabel Sánchez-Ortega16529Catalan Institute of Oncology, Barcelona, Spain.
Riccardo SaccardiCareggi University Hospital, Florence, Italy.
John A SnowdenDepartment of Haematology, 7318Sheffield Teaching Hospitals NHS Foundation Trust, UK.
Erik W van ZwetDepartment of Biomedical Data Sciences, Leiden University Medical Center, the Netherlands.ORCID 0000-0001-5537-3179

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Benchmarking is commonly used in many healthcare settings to monitor clinical performance, with the aim of increasing cost-effectiveness and safe care of patients. The funnel plot is a popular tool in visualizing the performance of a healthcare center in relation to other centers and to a target, taking into account statistical uncertainty. In this paper, we develop a methodology for constructing funnel plots for survival data. The method takes into account censoring and can deal with differences in censoring distributions across centers. Practical issues in implementing the methodology are discussed, particularly in the setting of benchmarking clinical outcomes for hematopoietic stem cell transplantation. A simulation study is performed to assess the performance of the funnel plots under several scenarios. Our methodology is illustrated using data from the European Society for Blood and Marrow Transplantation benchmarking project.

Indexed as

BenchmarkingResearch DesignHumansUncertaintyBenchmarkingfunnel plothematopoietic stem cell transplantationquality of caresurvival analysis

Identifiers

PMID35257603
PMCPMC9245152

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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.