Evidence map›Paper›PMID 29880610›Full record

ArticleHaematologica2018

Competing-risk outcomes after hematopoietic stem cell transplantation from the perspective of time-dependent effects.

Daniel Fuerst, Sandra Frank, Carlheinz Mueller, Dietrich W Beelen, Johannes Schetelig, Dietger Niederwieser, Jürgen Finke, Donald Bunjes, Nicolaus Kröger, Christine Neuchel and 4 more

Abstract read
In one paragraph

Article in Haematologica, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 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

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

14 authors.

Daniel FuerstInstitute of Clinical Transfusion Medicine and Immunogenetics Ulm, German Red Cross Blood Transfusion Service, Baden Wuerttemberg - Hessen and University Clinic Ulm, Germany.
Sandra FrankInstitute of Statistics, University of Ulm, Germany.
Carlheinz MuellerDRST - German Registry for Stem Cell Transplantation, Germany.
Dietrich W BeelenDRST - German Registry for Stem Cell Transplantation, Germany.
Johannes ScheteligDepartment of Internal Medicine I, University Hospital Carl Gustav Carus, Dresden, Germany.
Dietger NiederwieserDepartment of Hematology/Oncology, University of Leipzig, Germany.
Jürgen FinkeFaculty of Medicine and Medical Center, University of Freiburg, Germany.
Donald BunjesDepartment of Internal Medicine III, University of Ulm, Germany.
Nicolaus KrögerDepartment for Stem Cell Transplantation, University Cancer Center Hamburg, Germany.
Christine NeuchelInstitute of Clinical Transfusion Medicine and Immunogenetics Ulm, German Red Cross Blood Transfusion Service, Baden Wuerttemberg - Hessen and University Clinic Ulm, Germany.
Chrysanthi TsamadouInstitute of Clinical Transfusion Medicine and Immunogenetics Ulm, German Red Cross Blood Transfusion Service, Baden Wuerttemberg - Hessen and University Clinic Ulm, Germany.
Hubert SchrezenmeierInstitute of Clinical Transfusion Medicine and Immunogenetics Ulm, German Red Cross Blood Transfusion Service, Baden Wuerttemberg - Hessen and University Clinic Ulm, Germany.
Jan BeyersmannInstitute of Statistics, University of Ulm, Germany.
Joannis MytilineosInstitute of Clinical Transfusion Medicine and Immunogenetics Ulm, German Red Cross Blood Transfusion Service, Baden Wuerttemberg - Hessen and University Clinic Ulm, Germany j.mytilineos@blutspende.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The success of hematopoietic stem cell transplantation is determined by multiple factors. Additional complexity is conferred by covariables showing time-dependent effects. We evaluated the effect of predictors on competing-risk outcomes after hematopoietic stem cell transplantation in a time-dependent manner. We analyzed 14951 outcomes of adult patients with hematologic malignancies who underwent a first allogeneic transplant. We extended the combined endpoints of disease-free and overall survival to competing-risk settings: disease-free survival was split into relapse and non-relapse mortality. Overall survival was divided into transplant-related mortality, death from other causes and death from unknown causes. For time-dependent effects we computed estimators before and after a covariable-specific cut-point. Patients treated with reduced intensity conditioning had a constantly higher risk of relapse compared to patients treated with myeloablative conditioning. For non-relapse mortality, patients treated with reduced intensity conditioning had a reduced mortality risk but this effect was only seen in the first 4 months after transplantation (hazard ratio: 0.76,

Indexed as

Hematopoietic Stem Cell TransplantationAdolescentAdultAgedDisease ManagementFemaleGermanyHematologic DiseasesHumansMaleMiddle AgedNeoplasm StagingPrognosisProportional Hazards ModelsRecurrenceRegistries

Identifiers

PMID29880610
PMCPMC6119156

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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.