Evidence map›Paper›PMID 39518042›Full record

ArticleCancers2024

Usefulness of Nutritional Assessment Indicators in Predicting Treatment Discontinuation Due to Adverse Events from PARP Inhibitors in Ovarian Cancer Patients.

Yoshiaki Tanaka, Daisuke Inoue, Hideaki Tsuyoshi, Yuriko Nakamura, Masato Kato, Masataka Kato, Kentaro Niwa, Kenji Yashiro, Makoto Orisaka, Yoshio Yoshida

Abstract read
In one paragraph

Article in Cancers, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 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

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

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Predicting intestinal ischemia in mechanical intestinal obstruction: the role of the C-reactive protein-albumin-lymphocyte index.Ulusal travma ve acil cerrahi dergisi = Turkish journal of trauma & emergency surgery : TJTES · 2026
    Article
  3. Article
  4. Article
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.

Yoshiaki TanakaDepartment of Obstetrics and Gynecology, Faculty of Medical Sciences, University of Fukui, 23-3 Matsuokashimoaiduki, Yoshida-Gun, Eiheiji-Cho, Fukui 910-1104, Japan.
Daisuke InoueDepartment of Obstetrics and Gynecology, Faculty of Medical Sciences, University of Fukui, 23-3 Matsuokashimoaiduki, Yoshida-Gun, Eiheiji-Cho, Fukui 910-1104, Japan.
Hideaki TsuyoshiDepartment of Obstetrics and Gynecology, Faculty of Medical Sciences, University of Fukui, 23-3 Matsuokashimoaiduki, Yoshida-Gun, Eiheiji-Cho, Fukui 910-1104, Japan.
Yuriko NakamuraDepartment of Obstetrics and Gynecology, Fukui Prefectural Hospital, 2-8-1 Yotsui, Fukui 910-0846, Japan.
Masato KatoDepartment of Obstetrics and Gynecology, Fukui-Ken Saiseikai Hospital, Fukui 918-8503, Japan.
Masataka KatoDepartment of Obstetrics and Gynecology, Fukui Red Cross Hospital, 2-4-1 Tsukimi, Fukui 918-8011, Japan.
Kentaro NiwaDepartment of Obstetrics and Gynecology, Central Japan International Medical Center, 1-1 Kenkonomachi, Minokamo 505-8510, Japan.
Kenji YashiroDepartment of Obstetrics and Gynecology, Ishikawa Prefectural Central Hospital, 2-1 Kuratsuki Higashi, Kanazawa-City 920-8530, Japan.
Makoto OrisakaDepartment of Obstetrics and Gynecology, Faculty of Medical Sciences, University of Fukui, 23-3 Matsuokashimoaiduki, Yoshida-Gun, Eiheiji-Cho, Fukui 910-1104, Japan.
Yoshio YoshidaDepartment of Obstetrics and Gynecology, Faculty of Medical Sciences, University of Fukui, 23-3 Matsuokashimoaiduki, Yoshida-Gun, Eiheiji-Cho, Fukui 910-1104, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNutritional status is an important factor influencing toxicity of treatment. Nutritional assessment indicators such as the Prognostic Nutritional Index (PNI), Controlling Nutritional Status (CONUT) score and modified Glasgow Prognostic Score (mGPS) have been reported to be associated with treatment-related adverse events (AEs) for various malignancies. However, there are no reports investigating the relationship between nutritional status and AEs from poly-(ADP-ribose) polymerase (PARP) inhibitors (PARPi), which are widely used in recent years as maintenance therapy for ovarian cancer.

objectiveThe primary objective was to investigate the usefulness of nutritional assessment indicators in predicting treatment discontinuation due to AEs from PARPi.

methodsThis multicenter retrospective study included patients diagnosed with ovarian cancer who received maintenance therapy with PARPi from January 2018 to December 2023. PNI, CONUT score, and mGPS were calculated based on hematological parameters measured within 7 days before the start of PARPi therapy.

resultsA total of 272 patients received maintenance therapy with PARPi during the period, but due to the absence of the blood collection of albumin levels within one week or other exclusion criteria, 71 patients were finally included in this analysis. AEs were seen in 59 patients (83.1%), including 25 (35.2%) severe events (grade ≥3 in Common Terminology Criteria for Adverse Events v5.0). Eighteen patients (25.4%) discontinued treatment due to PARPi-related AEs. Low PNI (<48.44) and high mGPS (≥1) were predictors of treatment discontinuation in both univariate and multivariate analyses. CONUT was not a significant predictor in this study.

conclusionsOur study suggested that PNI and mGPS can predict the risk of treatment discontinuation due to PARPi-related AEs before starting maintenance therapy. This insight opens avenues for more personalized treatment plans, potentially improving patient outcomes.

Indexed as

Controlling Nutritional Status scoremodified Glasgow Prognostic Scoreovarian cancerPARP inhibitorPrognostic Nutritional Indextreatment discontinuation

Identifiers

PMID39518042
PMCPMC11544939

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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.