Evidence map›Paper›PMID 34853523›Full record

ArticleJournal of inflammation research2021

Association Between Pre-Treatment and Post-Treatment 3-Month Red Cell Distribution Width with Three-Year Prognosis of Prostate Cancer.

Jie Cheng, Siyang Wang, Jingying Jia, Qian Chen, Yunxiao Song, Junsheng Li

Abstract read
In one paragraph

Article in Journal of inflammation research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

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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

8 citing papers in PubMed.

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  8. Development and Validation of a Risk Prediction Model for In-Hospital Mortality in Patients With Acute Upper Gastrointestinal Bleeding.Clinical and applied thrombosis/hemostasis : official journal of the International Academy of Clinical and Applied Thrombosis/Hemostasis
    Article
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

6 authors.

Jie Cheng *Department of Urinary Surgery, Shanghai Xuhui Central Hospital, Shanghai, People's Republic of China.
Siyang Wang *Department of Geratology, Shanghai Xuhui Central Hospital, Shanghai, People's Republic of China.
Jingying JiaDepartment of Central Laboratory, Shanghai Xuhui Central Hospital, Shanghai, People's Republic of China.ORCID 0000-0002-2492-3219
Qian ChenDepartment of Central Laboratory, Shanghai Xuhui Central Hospital, Shanghai, People's Republic of China.
Yunxiao SongDepartment of Clinical Laboratory, Shanghai Xuhui Central Hospital, Shanghai, People's Republic of China.
Junsheng LiDepartment of Urinary Surgery, Shanghai Xuhui Central Hospital, Shanghai, People's Republic of China.ORCID 0000-0001-6484-2811

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeRed cell distribution width (RDW), an inflammation biomarker, has been linked to poor outcomes in patients with different types of cancers. The present study aimed to investigate the relationship between pre-/post-treatment 3-month RDW levels and changes in RDW with 3-year prognosis of prostate cancer. PATIENTS AND

methodsA total of 348 patients with prostate cancer were recruited between June 1, 2012 and June 1, 2017 and were followed up for at least 3 years. RDW was measured with the Mindray BC-6800Plus automatic blood counting system at pre- and post-treatment 3-month. Demographic and clinical information of the participants were also collected. The overall survival (OS) and cancer-specific survival (CSS) were analyzed using the Kaplan-Meier method. Cox regression and competing risk regression analyses were performed.

resultsDuring the follow-up period, 51 (14.66%) deaths occurred. The levels of pre- and post-treatment RDW levels were significantly higher in the death group than in the survival group (p<0.001). In the death group, the level of RDW continued to rise in most subjects, and the mean level of RDW was significantly higher at post-treatment than pre-treatment, contrary to the results observed in the survival group. Multivariate Cox regression analysis revealed that high pre-treatment RDW, high post-treatment RDW, and persistently higher RDW were independently associated with OS and CSS (p<0.001). Similar results were observed in the competing risk regression analysis. Kaplan-Meier analysis revealed that patients with higher pre-treatment RDW levels, higher post-treatment RDW levels, and persistently higher RDW levels had poorer 3-year OS and CSS rates (p<0.05).

conclusionThe levels of and changes in RDW before and after treatment were associated with the 3-year prognosis of prostate cancer, suggesting that RDW might be an efficient prognostic predictor in patients with prostate cancer.

Indexed as

cohort studyoverall survivalprognosticprostate cancerred cell distribution width

Identifiers

PMID34853523
PMCPMC8627891

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