Evidence map›Paper›PMID 37611996›Full record

ReviewBest practice & research. Clinical haematology2023

The analysis of multiple outcomes, multiple variables and variables selection in hematopoietic cell transplantation studies.

Soyoung Kim, Xi Fang, Kwang Woo Ahn

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

Review in Best practice & research. Clinical haematology, 2023. 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
0.3field-weighted citation impact, top 39% 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, 1 citations in OpenAlex.

  1. Review
  2. Endpoint selection and evaluation in hematology studies.Best practice & research. Clinical haematology · 2023
    Review
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 at 1 institution in 1 country.

Soyoung KimDivision of Biostatistics, Institute for Health and Equity, Medical College of Wisconsin, 8701 W Watertown Plank Rd, Milwaukee, WI, 53226, USA; Department of Medicine, Center for International Blood and Marrow Transplant Research, Medical College of Wisconsin, Milwaukee, USA. Electronic address: skim@mcw.edu.
Xi FangDivision of Biostatistics, Institute for Health and Equity, Medical College of Wisconsin, 8701 W Watertown Plank Rd, Milwaukee, WI, 53226, USA. Electronic address: xfang@mcw.edu.
Kwang Woo AhnDivision of Biostatistics, Institute for Health and Equity, Medical College of Wisconsin, 8701 W Watertown Plank Rd, Milwaukee, WI, 53226, USA; Department of Medicine, Center for International Blood and Marrow Transplant Research, Medical College of Wisconsin, Milwaukee, USA. Electronic address: kwooahn@mcw.edu.
Medical College of Wisconsin · US

Funding

Data Resource for Analyzing Blood &Marrow TransplantsU24CA076518 · NCI · MEDICAL COLLEGE OF WISCONSIN · PI Amy M Moskop, Bronwen Shaw · 1998 to 2026
$105.2M
NCI NIH HHS U24 CA076518
6 · The paper itself

Abstract

It is common to study time-to-event data in cancer research such as hematopoietic cell transplantation (HCT) for leukemia. The extensive work has been done for the univariate survival outcome, that is, one event type. However, in practice a subject is often exposed to multiple types of outcomes. In this article, we review various types of right-censored data with multiple outcome types including competing risks data, recurrent event data, and composite endpoints. We also provide hematopoietic cell transplantation data examples.

Indexed as

Hematopoietic Stem Cell TransplantationLeukemiaHumansCompeting risksComposite endpointsRecurrent eventsVariable selection

Identifiers

PMID37611996
PMCPMC10447944
OpenAlexW4377944096

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.