Evidence map›Paper›PMID 39705293›Full record

SynthesisPloS one2024

Evaluating the accuracy of a nutritional screening tool for patients with digestive system tumors: A hierarchical Bayesian latent class meta-analysis.

Menghao Yang, Na Xiao, Le Tang, Yang Zhang, Yuexiu Wen, Xiuqin Yang

Abstract readMeta-Analysis
In one paragraph

Synthesis in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. [The value of the nutritional assessment index or score in prognostic evaluation for patients with liver cancer].Zhonghua gan zang bing za zhi = Zhonghua ganzangbing zazhi = Chinese journal of hepatology · 2026
    Review
  2. Review
  3. Review
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.

Menghao YangSchool of Nursing Guizhou Medical University, Guiyang, Guizhou, China.
Na XiaoSchool of Nursing Guizhou Medical University, Guiyang, Guizhou, China.
Le TangSchool of Nursing Guizhou Medical University, Guiyang, Guizhou, China.
Yang ZhangSchool of Nursing Guizhou Medical University, Guiyang, Guizhou, China.
Yuexiu WenDepartment of General Surgery, The Second Affiliated Hospital of Guizhou Medical University, Kaili City, Qiandongnan Prefecture, Guizhou Province, China.
Xiuqin YangSchool of Nursing Guizhou Medical University, Guiyang, Guizhou, China.ORCID 0009-0003-0114-6271

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCancer, particularly tumors of the digestive system, presents a major global health challenge. The incidence and mortality rates of these cancers are increasing, and many patients face significant nutritional risks, which are often overlooked in clinical practice. This oversight can lead to serious health consequences, underscoring the need for effective nutritional assessment tools to improve clinical outcomes. Although several nutritional risk screening tools exist, their specific utility for patients with gastrointestinal tumors remains unclear. This study aimed to address this gap by systematically evaluating the performance of various nutritional screening tools in this patient population.

methodsA systematic search of six databases was conducted to identify studies that met predefined inclusion and exclusion criteria. Diagnostic test metrics such as sensitivity, specificity, and likelihood ratios (positive and negative) were estimated using a hierarchical summary receiver operating characteristic model. This approach was used to compare the accuracy of different nutritional screening scales.

resultsA total of 33 eligible studies were included in this meta-analysis, assessing six nutritional screening tools: the Malnutrition Universal Screening Tool, Malnutrition Screening Tool, Nutritional Risk Screening 2002, Mini Nutritional Assessment-Short Form, Nutritional Risk Index, and Patient-Generated Subjective Global Assessment. Among these, the Patient-Generated Subjective Global Assessment demonstrated the highest performance, with a sensitivity of 0.911 (95% confidence interval: 0.866-0.942) and a specificity of 0.805 (95% confidence interval: 0.674-0.891), outperforming the other screening tools.

conclusionsThis study confirms the effectiveness of the Patient-Generated Subjective Global Assessment in identifying malnutrition risk among patients with digestive system tumors. However, as this research focused on a Chinese population, future studies should encompass a broader geographic scope and work toward standardized assessment criteria to enhance the global validation and refinement of nutritional screening tools.

Indexed as

Bayes TheoremDigestive System NeoplasmsMalnutritionNutrition AssessmentHumansLatent Class AnalysisMass ScreeningNutritional StatusROC CurveSensitivity and Specificity

Identifiers

PMID39705293
PMCPMC11661584

What Socratic 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 Socratic graph.