Evidence map›Paper›PMID 30681495›Full record

ArticleChinese medical journal2019

Innovative analysis of predictors for overall survival from systemic non-Hodgkin T cell lymphoma using quantile regression analysis.

Da-Yong Huang, Yi-Fei Hu, Na Wei, Li Fu, Lin Wu, Jing Shen, Jing-Shi Wang, Zhao Wang

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Chinese medical journal, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
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

8 authors.

Da-Yong HuangDepartment of Hematology, Beijing Friendship Hospital, Capital Medical University, Beijing 100050, China.
Yi-Fei HuDepartment of Child, Adolescent and Maternal Health, School of Public Health, Capital Medical University, Beijing 100069, China.
Na WeiDepartment of Hematology, Beijing Friendship Hospital, Capital Medical University, Beijing 100050, China.
Li FuDepartment of Hematology, Beijing Friendship Hospital, Capital Medical University, Beijing 100050, China.
Lin WuDepartment of Hematology, Beijing Friendship Hospital, Capital Medical University, Beijing 100050, China.
Jing ShenDepartment of Hematology, Beijing Friendship Hospital, Capital Medical University, Beijing 100050, China.
Jing-Shi WangDepartment of Hematology, Beijing Friendship Hospital, Capital Medical University, Beijing 100050, China.
Zhao WangDepartment of Hematology, Beijing Friendship Hospital, Capital Medical University, Beijing 100050, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNon-Hodgkin T/NK cell lymphoma is a rare and widely variable type of lymphoma with the most dismal prognosis. This study aimed to investigate varied impact of the clinical indicators to the overall survival (OS).

methodsWe conducted a retrospective study to identify the non-invasive clinical features of T cell lymphoma that can predict prognosis with an innovative analysis method using quantile regression. A total of 183 patients who visited a top-tier hospital in Beijing, China, were enrolled from January 2006 to December 2015. Demographic information and main clinical indicators were collected including age, erythrocyte sedimentation rate (ESR), survival status, and international prognostic index (IPI) score.

resultsThe median age of the patients at diagnosis was 45 years. Approximately 80% of patients were at an advanced stage, and the median survival time after diagnosis was 5.1 months. Multivariable analysis of the prognostic factors for inferior OS associated with advanced clinical staging [HR=3.16, 95%CI (1.39-7.2)], lower platelet count [HR = 2.57, 95%CI (1.57-4.19), P < 0.001] and higher IPI score [HR = 1.29, 95%CI (1.01-1.66), P = 0.043]. Meanwhile, T cell lymphoblastic lymphoma [HR = 0.40, 95%CI (0.20-0.80), P = 0.010], higher white blood cell counts [HR = 0.57, 95%CI (0.34-0.96), P = 0.033], higher serum albumin level [HR = 0.6, 95%CI (0.37-0.97), P = 0.039], and higher ESR [HR = 0.53, 95%CI (0.33-0.87), P = 0.011] were protective factors for OS when stratified by hemophagocytic lymphohistiocytosis (HLH). Multivariable quantile regression between the OS rate and each predictor at quartiles 0.25, 0.5, 0.75, and 0.95 showed that the coefficients of serum β2-microglobulin level and serum ESR were statistically significant in the middle of the coefficient curve (quartile 0.25-0.75). The coefficient of IPI was negatively associated with OS. The coefficients of hematopoietic stem cell transplantation (HSCT) and no clinical symptoms were higher at the middle of the quartile level curve but were not statistically significant.

conclusionsThe IPI score is a comparatively robust indicator of prognosis at 3 quartiles, and serum ESR is stable at the middle 2 quartiles section when adjusted for HLH. Quantile regression can be used to observe detailed impacts of the predictors on OS.

Indexed as

Regression AnalysisAdolescentAdultAgedAged, 80 and overChildDisease-Free SurvivalFemaleHematopoietic Stem Cell TransplantationHumansLymphoma, Large B-Cell, DiffuseLymphoma, Non-HodgkinLymphoma, T-CellMaleMiddle AgedPrognosis

Identifiers

PMID30681495
PMCPMC6595814

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.