Evidence map›Paper›PMID 36718704›Full record

ArticleBeijing da xue xue bao. Yi xue ban = Journal of Peking University. Health sciences2023

[Pre-operative prognostic nutritional index as a predictive factor for prognosis in non-metastatic renal cell carcinoma treated with surgery].

Q Zhang, H F Song, B L Ma, Z N Zhang, C H Zhou, A L Li, J Liu, L Liang, S Y Zhu, Q Zhang

Abstract readEnglish Abstract
PubMed Full text at PMC
In one paragraph

Article in Beijing da xue xue bao. Yi xue ban = Journal of Peking University. Health sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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

2 citing papers in PubMed.

  1. 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

10 authors.

Q ZhangDepartment of Urology, Peking University First Hospital; Institute of Urology, Peking University; National Urological Cancer Center, Beijing 100034, China.
H F SongDepartment of Urology, Peking University First Hospital; Institute of Urology, Peking University; National Urological Cancer Center, Beijing 100034, China.
B L MaDepartment of Urology, Peking University First Hospital; Institute of Urology, Peking University; National Urological Cancer Center, Beijing 100034, China.
Z N ZhangDepartment of Urology, Peking University First Hospital; Institute of Urology, Peking University; National Urological Cancer Center, Beijing 100034, China.
C H ZhouDepartment of Urology, Peking University First Hospital; Institute of Urology, Peking University; National Urological Cancer Center, Beijing 100034, China.
A L LiDepartment of Urology, Peking University First Hospital; Institute of Urology, Peking University; National Urological Cancer Center, Beijing 100034, China.
J LiuDepartment of Urology, Peking University First Hospital; Institute of Urology, Peking University; National Urological Cancer Center, Beijing 100034, China.
L LiangDepartment of Urology, Peking University First Hospital; Institute of Urology, Peking University; National Urological Cancer Center, Beijing 100034, China.
S Y ZhuDepartment of Urology, Peking University First Hospital; Institute of Urology, Peking University; National Urological Cancer Center, Beijing 100034, China.
Q ZhangDepartment of Urology, Peking University First Hospital; Institute of Urology, Peking University; National Urological Cancer Center, Beijing 100034, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo evaluate the implications of the prognostic nutrition index (PNI) in non-metastatic renal cell carcinoma (RCC) patients treated with surgery and to compare it with other hematological biomarkers, including neutrophil to lymphocyte ratio (NLR), platelet to lymphocyte ratio (PLR), and systemic immune inflammation index (SII).

methodsA cohort of 328 non-metastatic RCC patients who received surgical treatment between 2010 and 2012 at Peking University First Hospital was analyzed retrospectively. Receiver operating characteristic (ROC) curve analysis was used to determine the optimal cutoff values of the hematological biomarkers. The Youden index was maximum for PNI was value of 47.3. So we divided the patients into two groups (PNI≤ 47. 3 and >47. 3) for further analysis. Categorical variables [age, gender, body mass index (BMI), surgery type, histological subtype, necrosis, pathological T stage and tumor grade] were compared using the Chi-square test and Student' s

resultsAccording to the maximum Youden index of ROC curve, the best cut-off value of PNI is 47. 3. Low level of PNI was significantly associated with older age, lower BMI and higher tumor pathological T stage (

conclusionLow PNI was a significant predictor for advanced pathological T stage, decreased OS, or DFS in non-metastatic RCC patients treated with surgery. In addition, PNI was superior to the other hematological biomar-kers as a useful tool for predicting prognosis of RCC in our study. It should be externally validated in future research before the PNI can be used widely as a predictor of RCC patients undergoing nephrectomy.

Indexed as

Carcinoma, Renal CellKidney NeoplasmsBiomarkersHumansNutrition AssessmentPrognosisRetrospective StudiesBiomarkersNephrectomyPrognosisPrognostic nutrition indexRenal cell carcinoma

Identifiers

PMID36718704
PMCPMC9894816

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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.