Evidence map›Paper›PMID 33537231›Full record

ArticleFrontiers in oncology2020

Elevated Red Blood Cell Distribution Width as a Poor Prognostic Factor in Patients With Hematopoietic Stem Cell Transplantation.

Xiaojiong Jia, Si Cheng, Long Zhang, Yuan Zheng, Hua Zou, Shifeng Huang, Hongxu Wang, Juan Lu, Dijiao Tang

Abstract read
In one paragraph

Article in Frontiers in oncology, 2020. 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

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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

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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. Article
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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

9 authors.

Xiaojiong JiaDepartment of Laboratory Medicine, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Si ChengDepartment of Orthopaedics, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Long ZhangDepartment of Urinary Surgery, People's Hospital of Jiulongpo District, Chongqing, China.
Yuan ZhengDepartment of Laboratory Medicine, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Hua ZouDepartment of Laboratory Medicine, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Shifeng HuangDepartment of Laboratory Medicine, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Hongxu WangDepartment of Laboratory Medicine, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Juan LuDepartment of Otolaryngology-Head and Neck Surgery, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Dijiao TangDepartment of Laboratory Medicine, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Red cell distribution width (RDW), a measure of erythrocyte size variability, has been recently reported as an effective prognostic factor in critical illness. Hematopoietic stem cell transplantation (HSCT) has become the first choice of most patients with hematological malignancies. The aim of this study was to assess the changes of RDW in patients with HSCT and analyze the relationship between RDW and HSCT. In this study, we retrospectively enrolled 114 hematopoietic stem cell transplant patients during the period from 2015 to 2019. Logistic regression and Kaplan-Meier survival analysis were used for retrospective analysis. Multivariate analysis suggested that patients with elevated RDW (>14.5%) at three months post-transplantation have a poor clinical outcome compared with those with normal RDW ≤14.5% [odds ratio (OR) 5.12; P = 0.002]. Kaplan-Meier method analysis demonstrated that patients with elevated RDW levels (>14.5%) after hematopoietic stem cell transplantation experienced shorter progression-free survival compared to those with normal RDW levels (P = 0.008). Our study demonstrated that RDW could be an easily available and potential predictive biomarker for risk stratification in patients with HSCT. Further prospective studies are determined to confirm the prognostic value of RDW in HSCT patients.

Indexed as

biomarkerhematopoietic stem cell transplantationoutcomeprognosisred blood cell distribution widthrisk factor

Identifiers

PMID33537231
PMCPMC7848151

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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.