Evidence map›Paper›PMID 38169970›Full record

ArticleHeliyon2024

The role of nutrition-based index in predicting survival of breast cancer patients: A systematic review and meta-analysis.

Patricia Diana Prasetiyo, Bernard Agung Baskoro, Timotius Ivan Hariyanto

Open access · goldAbstract read
In one paragraph

Article in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 6 pooled it
4.8field-weighted citation impact, top 4% 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

20 citing papers in PubMed, 6 syntheses or guidelines pooled it, 21 citations in OpenAlex.

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  10. Predicting the Effectiveness of 2 Chemotherapy Regimens Applied to Breast Cancer Patients by Nutritional and Inflammatory Status.Medical science monitor : international medical journal of experimental and clinical research · 2026
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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

3 authors at 1 institution in 1 country.

Patricia Diana PrasetiyoDepartment of Pathology, Faculty of Medicine, Pelita Harapan University, Tangerang, Banten, 15811, Indonesia.
Bernard Agung BaskoroDivision of Surgical Oncology, Department of Surgery, Faculty of Medicine, Pelita Harapan University, Karawaci, Tangerang, 15811, Indonesia.
Timotius Ivan HariyantoFaculty of Medicine, Pelita Harapan University, Karawaci, Tangerang, 15811, Indonesia.
Pelita Harapan University · ID

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Prognostic nutritional index (PNI) and Controlling Nutritional Status (CONUT) are two model that incorporates the role of inflammation and nutrition factors to predict the progression of tumor. The primary objective of this investigation is to examine the ability of PNI and CONUT score for predicting the survival in breast cancer patients. Methods: A comprehensive search was conducted on the Cochrane Library, Scopus, Europe PMC, and Medline databases up until August 14th, 2023, utilizing a combination of relevant keywords. This review incorporates literature that examines the relationship between PNI, CONUT, and survival in breast cancer. We employed random-effect models to analyze the hazard ratio (HR) and present the outcomes together with their corresponding 95 % confidence intervals (CI). Results: A total of sixteen studies were incorporated. The results of our meta-analysis indicated that high PNI was associated with better overall survival (OS) (HR 0.38; 95%CI: 0.28-0.51, Conclusions: This study suggests the prognostic role of both PNI and CONUT score for predicting survival in breast cancer patients.

Indexed as

Breast cancerNeoplasmNutrition indexOncologyPrognosis

Identifiers

PMID38169970
PMCPMC10758813
OpenAlexW4389571057

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.