Evidence map›Paper›PMID 38450184›Full record

ArticleFrontiers in oncology2024

Predictive value of controlling nutritional status score for prostate cancer diagnosis.

Jiaguo Huang, Ji Sun, Runmiao Hua, Yi Fan, Kai Wang, Liying Zheng, Biao Qian

Abstract read
In one paragraph

Article in Frontiers in oncology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Jiaguo HuangDepartment of Urology, Affiliated Xiaoshan Hospital, Hangzhou Normal University, Hangzhou, China.
Ji SunDepartment of Urology, Affiliated Xiaoshan Hospital, Hangzhou Normal University, Hangzhou, China.
Runmiao HuaDepartment of Urology, Affiliated Xiaoshan Hospital, Hangzhou Normal University, Hangzhou, China.
Yi FanDepartment of Urology, Affiliated Xiaoshan Hospital, Hangzhou Normal University, Hangzhou, China.
Kai WangDepartment of Urology, Affiliated Hangzhou First People's Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Liying ZhengDepartment of Graduate, The First Affiliated Hospital of Gannan Medical College, Ganzhou, China.
Biao QianDepartment of Urology, The First Affiliated Hospital of Gannan Medical College, Ganzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This study aims to explore the predictive value of the Controlling Nutritional Status (CONUT) score for prostate cancer (PCa) diagnosis. Methods: The data of 114 patients who underwent prostate needle biopsies from June 2020 to December 2022 were retrospectively analyzed. The relationship between CONUT score and various clinical factors as well as PCa diagnosis was evaluated. Results: The pathological results classified patients into the PCa (n = 38) and non-PCa (n = 76) groups. Compared with the non-PCa group, the PCa group exhibited statistically significant differences in age, prostate-specific antigen (PSA), PSA density (PSAD), the proportion of PI-RADS ≥ 3 in mpMRI, and the CONUT score, prostate volume, lymphocyte count, and total cholesterol concentration ( Conclusion: CONUT score is an excellent auxiliary index for PCa diagnosis in addition to the commonly used PSA, PSAD, and mpMRI in clinical practice. Further prospective trials with a larger sample size are warranted to confirm the present study findings.

Indexed as

controlling nutritional status scorediagnosisnutritional statuspredictive valueprostate cancer

Identifiers

PMID38450184
PMCPMC10915645

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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.