Evidence map›Paper›PMID 41575580›Full record

ArticleAnnals of hematology2026

Can baseline red blood cell distribution width predict outcomes in peripheral T-cell lymphoma patients?

Yifen Lan, Yanchun Zhao, Jianai Sun, De Zhou, Jinghan Wang, Xiaolong Zheng, Yuanfei Shi, Haitao Meng, Juying Wei, Chunmei Yang and 4 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Annals of hematology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

14 authors.

Yifen Lan *Department of Hematology, the First Affiliated Hospital, Zhejiang University School of Medicine, No. 79 Qingchun Road, Hangzhou, 310003, Zhejiang, China.
Yanchun Zhao *Department of Hematology, the First Affiliated Hospital, Zhejiang University School of Medicine, No. 79 Qingchun Road, Hangzhou, 310003, Zhejiang, China.
Jianai Sun *Department of Hematology, the First Affiliated Hospital, Zhejiang University School of Medicine, No. 79 Qingchun Road, Hangzhou, 310003, Zhejiang, China.
De ZhouDepartment of Hematology, the First Affiliated Hospital, Zhejiang University School of Medicine, No. 79 Qingchun Road, Hangzhou, 310003, Zhejiang, China.
Jinghan WangDepartment of Hematology, the First Affiliated Hospital, Zhejiang University School of Medicine, No. 79 Qingchun Road, Hangzhou, 310003, Zhejiang, China.
Xiaolong ZhengDepartment of Hematology, the First Affiliated Hospital, Zhejiang University School of Medicine, No. 79 Qingchun Road, Hangzhou, 310003, Zhejiang, China.
Yuanfei ShiDepartment of Hematology, the First Affiliated Hospital, Zhejiang University School of Medicine, No. 79 Qingchun Road, Hangzhou, 310003, Zhejiang, China.
Haitao MengDepartment of Hematology, the First Affiliated Hospital, Zhejiang University School of Medicine, No. 79 Qingchun Road, Hangzhou, 310003, Zhejiang, China.
Juying WeiDepartment of Hematology, the First Affiliated Hospital, Zhejiang University School of Medicine, No. 79 Qingchun Road, Hangzhou, 310003, Zhejiang, China.
Chunmei YangDepartment of Hematology, the First Affiliated Hospital, Zhejiang University School of Medicine, No. 79 Qingchun Road, Hangzhou, 310003, Zhejiang, China.
Wenjuan YuDepartment of Hematology, the First Affiliated Hospital, Zhejiang University School of Medicine, No. 79 Qingchun Road, Hangzhou, 310003, Zhejiang, China.
Jie JinDepartment of Hematology, the First Affiliated Hospital, Zhejiang University School of Medicine, No. 79 Qingchun Road, Hangzhou, 310003, Zhejiang, China.
Hongyan TongDepartment of Hematology, the First Affiliated Hospital, Zhejiang University School of Medicine, No. 79 Qingchun Road, Hangzhou, 310003, Zhejiang, China.
Wanzhuo XieDepartment of Hematology, the First Affiliated Hospital, Zhejiang University School of Medicine, No. 79 Qingchun Road, Hangzhou, 310003, Zhejiang, China. xiewanzhuo@zju.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Peripheral T-cell lymphoma (PTCL) is a heterogeneous subtype of non-Hodgkin lymphoma with a poor prognosis. Red blood cell distribution width (RDW) is a hematological parameter reflecting variability in erythrocyte volume and has been associated with prognosis in various diseases. Therefore, we conducted a retrospective study on 629 newly diagnosed patients with PTCL to explore the relationship between baseline RDW, prognosis, and response to first-line treatment. The cutoff value for baseline RDW was 14.45%. Patients with baseline RDW ≥ 14.45% had a lower overall response rate than those with RDW < 14.45% (41.98% vs. 78.75%, P < 0.001). Univariate and multivariate logistic regression analyses indicated that baseline RDW ≥ 14.45% was associated with a poorer treatment response. Multivariate Cox analysis identified baseline RDW ≥ 14.45% as an independent prognostic factor in PTCL. Therefore, baseline RDW is an easily accessible and inexpensive marker for prognostic risk stratification in patients with PTCL.

Indexed as

Erythrocyte IndicesLymphoma, T-Cell, PeripheralAdultAgedAged, 80 and overAntineoplastic Combined Chemotherapy ProtocolsFemaleHumansMaleMiddle AgedPrognosisRetrospective StudiesTreatment OutcomeYoung AdultOverall response ratePeripheral t cell lymphomaPrognosisRed blood cell distribution width

Identifiers

PMID41575580
PMCPMC12830452

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.