Evidence map›Paper›PMID 37058264›Full record

ArticleSupportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer2023

Association of prognostic nutritional index with muscle loss and survival in patients with ovarian cancer treated with primary debulking surgery and chemotherapy.

Jie Lee, Chia-Sui Weng, Chih-Long Chang, Wen-Han Hsu, Ya-Ting Jan, Kun-Pin Wu

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Article in Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer, 2023. 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
1.4field-weighted citation impact, top 19% of its field
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

8 citing papers in PubMed, 8 citations in OpenAlex.

  1. Review
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  6. Interpretable machine learning model based on clinical factors for predicting muscle radiodensity loss after treatment in ovarian cancer.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 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

6 authors at 3 institutions in 1 country.

Jie LeeDepartment of Radiation Oncology, MacKay Memorial Hospital, Taipei, Taiwan. sinus.5706@mmh.org.tw.
Chia-Sui WengDepartment of Medicine, MacKay Medical College, New Taipei City, Taiwan.
Chih-Long ChangDepartment of Medicine, MacKay Medical College, New Taipei City, Taiwan.
Wen-Han HsuInstitute of Biomedical Informatics, National Yang Ming Chiao Tung University, Taipei, Taiwan.
Ya-Ting JanDepartment of Radiology, MacKay Memorial Hospital, Taipei, Taiwan.
Kun-Pin WuInstitute of Biomedical Informatics, National Yang Ming Chiao Tung University, Taipei, Taiwan. kpwu@nycu.edu.tw.
Mackay Medical College · TWMackay Memorial Hospital · TWNational Yang Ming Chiao Tung University · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeSarcopenia is prevalent in ovarian cancer and contributes to poor survival. This study is aimed at investigating the association of prognostic nutritional index (PNI) with muscle loss and survival outcomes in patients with ovarian cancer.

methodsThis retrospective study analyzed 650 patients with ovarian cancer treated with primary debulking surgery and adjuvant platinum-based chemotherapy at a tertiary center from 2010 to 2019. PNI-low was defined as a pretreatment PNI of < 47.2. Skeletal muscle index (SMI) was measured on pre- and posttreatment computed tomography (CT) at L3. The cut-off for the SMI loss associated with all-cause mortality was calculated using maximally selected rank statistics.

resultsThe median follow-up was 4.2 years, and 226 deaths (34.8%) were observed. With a median duration of 176 days (interquartile range: 166-187) between CT scans, patients experienced an average decrease in SMI of 1.7% (P < 0.001). The cut-off for SMI loss as a predictor of mortality was - 4.2%. PNI-low was independently associated with SMI loss (odds ratio: 1.97, P = 0.001). On multivariable analysis of all-cause mortality, PNI-low and SMI loss were independently associated with all-cause mortality (hazard ratio: 1.43, P = 0.017; hazard ratio: 2.27, P < 0.001, respectively). Patients with both SMI loss and PNI-low (vs. neither) had triple the risk of all-cause mortality (hazard ratio: 3.10, P < 0.001).

conclusionsPNI is a predictor of muscle loss during treatment for ovarian cancer. PNI and muscle loss are additively associated with poor survival. PNI can help clinicians guide multimodal interventions to preserve muscle and optimize survival outcomes.

Indexed as

Ovarian NeoplasmsSarcopeniaCytoreduction Surgical ProceduresFemaleHumansMuscle, SkeletalNutrition AssessmentPrognosisRetrospective StudiesNutritionOvarian cancerPrognostic nutritional indexSarcopeniaSystemic inflammation

Identifiers

PMID37058264
OpenAlexW4365484902

What OpenQuestion holds

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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.