Evidence map›Paper›PMID 34733992›Full record

ArticleAnnals of translational medicine2021

Development of nomograms related to inflammatory biomarkers to estimate the prognosis of bladder cancer after radical cystectomy.

Wentao Zhang, Fuhan Yang, Aimaitiaji Kadier, Yifan Chen, Yang Yu, Junfeng Zhang, Jiang Geng, Yang Yan, Wei Li, Xudong Yao

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Article in Annals of translational medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 7 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

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3 · Its place in the literature

Who cites it

11 citing papers in PubMed, 7 syntheses or guidelines pooled it.

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4 · The record

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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.

Wentao ZhangDepartment of Urology, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, China.
Fuhan YangDepartment of Urology, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, China.
Aimaitiaji KadierDepartment of Urology, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, China.
Yifan ChenDepartment of Urology, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, China.
Yang YuDepartment of Urology, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, China.
Junfeng ZhangDepartment of Urology, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, China.
Jiang GengDepartment of Urology, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, China.
Yang YanDepartment of Urology, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, China.
Wei LiDepartment of Urology, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, China.
Xudong YaoDepartment of Urology, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBladder cancer is one of the most common carcinomas and it brings about huge social economic burden. There is not a reliable way to predict the prognosis of bladder patients. We develop the nomogram to predict the prognosis of bladder cancer patients.

methodsA total of 127 bladder cancer patients after radical cystectomy were studied retrospectively. Their clinicopathological data were collected for statistical analysis.

resultsThe level of albumin/globulin ratio (AGR), C-reactive protein/albumin ratio (CAR), neutrophil to lymphocyte ratio (NLR) and platelet to lymphocyte ratio (PLR) associated with pathological and hematological parameters like T stage and hemoglobin. Furthermore, the AGR was associated with overall survival (OS) and CAR, NLR, and PLR were associated with both OS and progression-free survival (PFS) (P<0.05). The multivariate analysis revealed that tobacco smoking, tumor T stage, M stage, NLR, CAR, and AGR were all independent predictors for OS of patients and tobacco smoking, tumor T stage, NLR, CAR, and AGR were independent predictors for PFS of patients. In addition, AGR, CAR, and NLR, as well as, the clinicopathological parameters in the development of nomograms with a C index of 0.901 (95% CI: 0.505-1.269) for OS, and 0.807 (95% CI: 0.755-0.858) for PFS. The nomograms were able to provide a prognosis of the OS with the area under the curve (AUC) =0.86. Further, tests assessed the PFS with the AUC =0.84.

conclusionsThis study demonstrates that the nomograms of the inflammatory biomarkers were able to predict prognosis of bladder cancer patients after radical cystectomy.

Indexed as

bladder cancerinflammatory biomarkersNomogramprognosis

Identifiers

PMID34733992
PMCPMC8506704

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