Evidence map›Paper›PMID 30340560›Full record

ArticleBMC cancer2018

Inflammation marker ESR is effective in predicting outcome of diffuse large B-cell lymphoma.

Shuang Wu, Ye Zhou, Hai-Ying Hua, Yan Zhang, Wen-Yan Zhu, Zhi-Qing Wang, Jin Li, Hua-Qiang Gao, Xiao-Hong Wu, Ting-Xun Lu and 1 more

Abstract read
In one paragraph

Article in BMC cancer, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
–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

12 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Association of inflammatory markers with the severity of COVID-19: A meta-analysis.International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases · 2020
    Pooled it
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  7. Predictive Value of CorrectedWorld journal of nuclear medicine · 2024
    Article
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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

11 authors.

Shuang WuDepartment of Hematology, The Third Affiliated Hospital of Nantong University, The Third People's Hospital of Wuxi, Wuxi, 214000, Jiangsu, People's Republic of China.
Ye ZhouDepartment of Hematology, The Third Affiliated Hospital of Nantong University, The Third People's Hospital of Wuxi, Wuxi, 214000, Jiangsu, People's Republic of China.
Hai-Ying HuaDepartment of Hematology, The Third Affiliated Hospital of Nantong University, The Third People's Hospital of Wuxi, Wuxi, 214000, Jiangsu, People's Republic of China.
Yan ZhangDepartment of Hematology, The Third Affiliated Hospital of Nantong University, The Third People's Hospital of Wuxi, Wuxi, 214000, Jiangsu, People's Republic of China.
Wen-Yan ZhuDepartment of Hematology, The Third Affiliated Hospital of Nantong University, The Third People's Hospital of Wuxi, Wuxi, 214000, Jiangsu, People's Republic of China.
Zhi-Qing WangDepartment of Hematology, The Third Affiliated Hospital of Nantong University, The Third People's Hospital of Wuxi, Wuxi, 214000, Jiangsu, People's Republic of China.
Jin LiDepartment of Hematology, The Third Affiliated Hospital of Nantong University, The Third People's Hospital of Wuxi, Wuxi, 214000, Jiangsu, People's Republic of China.
Hua-Qiang GaoDepartment of Hematology, The Third Affiliated Hospital of Nantong University, The Third People's Hospital of Wuxi, Wuxi, 214000, Jiangsu, People's Republic of China.
Xiao-Hong WuDepartment of Oncology, Affiliated Hospital of Jiangnan University, Wuxi, 214000, Jiangsu, People's Republic of China.
Ting-Xun LuDepartment of Oncology, Affiliated Hospital of Jiangnan University, Wuxi, 214000, Jiangsu, People's Republic of China. lutingxun@163.com.ORCID http://orcid.org/0000-0002-9047-6728
Dong HuaDepartment of Oncology, Affiliated Hospital of Jiangnan University, Wuxi, 214000, Jiangsu, People's Republic of China. wx89211@163.com.

Funding

Jiangsu Province Young Medical Talents QNRC2016155National Natural Science Foundation of China 81600152Natural Science Foundation of Jiangsu Province BK20160194
6 · The paper itself

Abstract

backgroundSystemic inflammation has been implicated in cancer development and progression. This study examined the best cutoff value of erythrocyte sedimentation rate (ESR) in diffuse large B-cell lymphoma (DLBCL) patients.

methodsThe relationship between ESR and clinical characteristics was analyzed in 182 DLBCL patients from 2006 to 2017. The log-rank test, univariate analysis, and Cox regression analysis were applied to evaluate the relationship between ESR and survival. An ESR of more than 37.5 mm/hour was found to be the optimal threshold value for predicting prognosis.

resultsESR was associated with more frequent advanced Ann Arbor stage, poorer performance status, elevated lactate dehydrogenase level, the presence of B symptoms, high-risk International Prognostic Index (IPI 3-5), more extranodal involvement (ENI ≥2), non-germinal-center B-cell (non-GCB) subtypes, and more frequent Myc protein positivity. Shorter overall survival (OS) and progression-free survival (PFS) were found for patients with higher ESRs. Multivariate analysis demonstrated that ESR level is an independent prognostic factor of both OS and PFS. In addition, dynamic changes in ESR are valuable in assessing curative effect and predicting disease recurrence.

conclusionHigh ESR in DLBCL patients indicated unfavorable prognosis that may require alternative treatment regimens.

Indexed as

AdultAgedAged, 80 and overBiomarkers, TumorBlood SedimentationFemaleHumansInflammation MediatorsLymphoma, Large B-Cell, DiffuseMaleMiddle AgedPredictive Value of TestsRetrospective StudiesSurvival RateYoung AdultBiomarkers, TumorInflammation MediatorsDiffuse large B-cell lymphomaErythrocyte sedimentation ratePrognosisSurvival

Identifiers

PMID30340560
PMCPMC6194702

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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.