Evidence map›Paper›PMID 37801616›Full record

ArticleAnnals of medicine2023

A simplified prognostic score for T-cell large granular lymphocyte leukaemia.

Hailing Liu, Jingjing Guo, Lei Cao, Huayuan Zhu, Yi Miao, Xinyi Du, Yujie Wu, Wei Xu, Jianyong Li, Lei Fan

Open access · goldAbstract read
In one paragraph

Article in Annals of medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact, top 60% 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

3 citing papers in PubMed, 0 citations in OpenAlex.

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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

10 authors at 2 institutions in 1 country.

Hailing LiuDepartment of Hematology, Jiangsu Province Hospital and Nanjing Medical University First Affiliated Hospital, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing, China.ORCID 0000-0002-8712-2152
Jingjing GuoDepartment of Geriatric, Nanjing Second Hospital, Nanjing University of Chinese Medicine, Nanjing, China.
Lei CaoDepartment of Hematology, Jiangsu Province Hospital and Nanjing Medical University First Affiliated Hospital, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing, China.
Huayuan ZhuDepartment of Hematology, Jiangsu Province Hospital and Nanjing Medical University First Affiliated Hospital, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing, China.
Yi MiaoDepartment of Hematology, Jiangsu Province Hospital and Nanjing Medical University First Affiliated Hospital, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing, China.
Xinyi DuDepartment of Hematology, Jiangsu Province Hospital and Nanjing Medical University First Affiliated Hospital, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing, China.
Yujie WuDepartment of Hematology, Jiangsu Province Hospital and Nanjing Medical University First Affiliated Hospital, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing, China.
Wei XuDepartment of Hematology, Jiangsu Province Hospital and Nanjing Medical University First Affiliated Hospital, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing, China.
Jianyong LiDepartment of Hematology, Jiangsu Province Hospital and Nanjing Medical University First Affiliated Hospital, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing, China.ORCID 0000-0002-9931-4055
Lei FanDepartment of Hematology, Jiangsu Province Hospital and Nanjing Medical University First Affiliated Hospital, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing, China.ORCID 0000-0002-9368-4987
Jiangsu Province Hospital · CNNanjing University of Chinese Medicine · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundT-cell large granular lymphocyte leukaemia (T-LGLL) generally has a favourable prognosis, but a small proportion of patients are facing a relatively short survival time. This study aimed to identify clinical factors associated with survival in patients with T-LGLL and develop a predictive model for guiding therapeutic decision-making. MATERIALS AND

methodsWe conducted a retrospective study on 120 patients with T-LGLL. Lasso regression was performed for feature selection followed by univariate and multivariate Cox regression analysis. A decision tree algorithm was employed to construct a model for predicting overall survival (OS) in T-LGLL.

resultsThe median age of diagnosis for the entire cohort was 59 years, and 76.7% of patients reported disease-related symptoms. After a median follow-up of 75 months, the median OS was not reached. The 5-year OS rate was 82.2% and the 10-year OS rate was 63.8%. Multivariate analysis revealed that an Eastern Cooperative Oncology Group performance status over two and a platelet count below 100 × 10

conclusionsOur model is an easily applicable clinical scoring system for predicting OS in patients with T-LGLL. However, external validation is essential before implementing it widely.

Indexed as

Leukemia, Large Granular LymphocyticHumansMiddle AgedPrognosisRetrospective Studiesdecision treeLeukaemialymphoproliferative disordersprognosissurvival

Identifiers

PMID37801616
PMCPMC10561584
OpenAlexW4387396991

What OpenQuestion holds

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LicenceCC BY-NC
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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.