Evidence map›Paper›PMID 42591699›Full record

ArticleHealth data science2026

Personalizing Maintenance Rituximab in Follicular Lymphoma: A Machine Learning Framework for Risk-Benefit Optimization.

Junyi Gao, Jiaxin Liu, Xinze Li, Meng Wu, Rongyi Cui, Yannan Huang, Zhixin Zhang, Yinghao Zhu, Yasha Wang, Yuqin Song and 4 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Health data science, 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.

Junyi GaoKey Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Lymphoma, Peking University Cancer Hospital & Institute, Beijing, China.ORCID https://orcid.org/0000-0002-4951-8682
Jiaxin LiuKey Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Lymphoma, Peking University Cancer Hospital & Institute, Beijing, China.
Xinze LiNational Engineering Research Center for Software Engineering, Peking University, Beijing, China.
Meng WuKey Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Lymphoma, Peking University Cancer Hospital & Institute, Beijing, China.
Rongyi CuiNational Engineering Research Center for Software Engineering, Peking University, Beijing, China.
Yannan HuangNational Engineering Research Center for Software Engineering, Peking University, Beijing, China.
Zhixin ZhangNational Engineering Research Center for Software Engineering, Peking University, Beijing, China.
Yinghao ZhuNational Engineering Research Center for Software Engineering, Peking University, Beijing, China.
Yasha WangNational Engineering Research Center for Software Engineering, Peking University, Beijing, China.
Yuqin SongKey Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Lymphoma, Peking University Cancer Hospital & Institute, Beijing, China.
Ewen M HarrisonCentre for Medical Informatics, University of Edinburgh, Edinburgh, UK.
Lan MiKey Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Lymphoma, Peking University Cancer Hospital & Institute, Beijing, China.
Liantao MaNational Engineering Research Center for Software Engineering, Peking University, Beijing, China.
Yan XieKey Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Lymphoma, Peking University Cancer Hospital & Institute, Beijing, China.

Funding

Wellcome Trust
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Identifiers

PMID42591699
PMCPMC13462244

What OpenQuestion holds

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LicenceCC BY
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.