Evidence map›Paper›PMID 29761374›Full record

ArticleJournal of cancer research and clinical oncology2018

The prognostic role of HBV infection in chronic lymphocytic leukemia.

Jin-Hua Liang, Rui Gao, Jun-Cheng Dai, Robert Peter Gale, Wang Li, Lei Fan, Zhi-Bin Hu, Wei Xu, Jian-Yong Li

Open access · greenAbstract read
In one paragraph

Article in Journal of cancer research and clinical oncology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
0.4field-weighted citation impact, top 35% 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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 5 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. 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

9 authors at 4 institutions in 3 countries.

Jin-Hua LiangDepartment of Hematology, Jiangsu Province Hospital, The First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, China.
Rui GaoDepartment of Endocrinology, Jiangsu Province Hospital, The First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, China.
Jun-Cheng DaiDepartment of Epidemiology and Biostatistics, Nanjing Medical University School of Public Health, Nanjing, 210029, China.
Robert Peter GaleDivision of Experimental Medicine, Department of Medicine, Haematology Research Centre, Imperial College London, London, UK.
Wang LiDepartment of Hematology, Jiangsu Province Hospital, The First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, China.
Lei FanDepartment of Hematology, Jiangsu Province Hospital, The First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, China.
Zhi-Bin HuDepartment of Epidemiology and Biostatistics, Nanjing Medical University School of Public Health, Nanjing, 210029, China.
Wei XuDepartment of Hematology, Jiangsu Province Hospital, The First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, China. xuwei10000@hotmail.com.ORCID http://orcid.org/0000-0003-4208-7477
Jian-Yong LiDepartment of Hematology, Jiangsu Province Hospital, The First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, China. lijianyonglm@medmail.com.cn.
Jiangsu Province Hospital · CNCenter for Personalized Cancer Treatment · NLNanjing Medical University · CNImperial College London · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeWe attempt to assess the impact of hepatis-B virus (HBV) status on the prognosis of chronic lymphocytic leukemia (CLL) using a Chinese case cohort.

methodsFive hundred and one consecutive newly diagnosed subjects with CLL were enrolled in this case cohort. HBV infection was defined as hepatitis B surface antigen (HBsAg) positive or hepatitis-B core antibody (HBcAb) positive. Univariate and stepwise multivariate Cox regression analyses were used to screen the prognostic risk factors associated with the end point of time-to-treatment (TTT) or overall survival (OS). Bootstrap re-sampling method was used to evaluate the model's internal validity. The discriminative ability of the models was evaluated using time-dependent receiver-operator characteristic (ROC) curves and corresponding areas under the curve (AUC).

resultsOne hundred and twenty-one subjects (24%) among 501 patients were HBV positive. HBV infection was an independent predictor for the prognosis of TTT (HR = 1.37; 95% CI 1.04-1.80) or OS (HR =2.85; 95% CI 1.80-4.52). The AUCs for HBV infection were 0.62 (95% CI 0.58-0.66) for TTT and 0.69 (95% CI 0.66-0.72) for OS, respectively. When we combined HBV infection with the traditional clinical and biological factors, significant improvements for model's discrimination were observed for TTT [AUC: 0.81 (95% CI: 0.77-0.85) vs. 0.78 (95% CI: 0.74-0.82), P < 0.001] and OS [AUC: 0.81 (95% CI 0.76-0.86) vs. 0.76 (95% CI 0.71-0.82), P < 0.001). Further bootstrap re-sampling method revealed good internal consistence for the final optimal models (Average AUC: 0.78 for TTT and 0.79 for OS based on 1000 bootstraps).

conclusionsOur results indicated that HBV infection should be served as an important risk predictor for prognosis of CLL (TTT and OS).

Indexed as

AdultAgedChinaCohort StudiesFemaleHepatitis BHumansKaplan-Meier EstimateLeukemia, Lymphocytic, Chronic, B-CellMaleMiddle AgedPrognosisProportional Hazards ModelsRisk FactorsChronic lymphocytic leukemiaHBVOverall survivalPrognostic biomarkerTime to first treatment

Identifiers

PMID29761374
PMCPMC11813474
OpenAlexW2804906246

What OpenQuestion holds

Textmetadata
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.