Evidence map›Paper›PMID 37990781›Full record

ArticleCancer medicine2023

Development of a nutritional screening and assessment indicator system for patients with esophageal cancer in China: Findings from the Delphi method.

Jingjing Shang, Wen Dong, Peipei Huang, Yidan Sun, Yuxin He, Hui Li, Shengwu Liao, Mei Li

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Article in Cancer medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.6field-weighted citation impact, top 16% of its field
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 5 citations in OpenAlex.

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4 · The record

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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

8 authors at 1 institution in 1 country.

Jingjing ShangDepartment of Thoracic Surgery, Southern Medical University Nanfang Hospital, Guangzhou, China.
Wen DongDepartment of Thoracic Surgery, Southern Medical University Nanfang Hospital, Guangzhou, China.
Peipei HuangDepartment of Thoracic Surgery, Southern Medical University Nanfang Hospital, Guangzhou, China.
Yidan SunDepartment of Thoracic Surgery, Southern Medical University Nanfang Hospital, Guangzhou, China.
Yuxin HeDepartment of Thoracic Surgery, Southern Medical University Nanfang Hospital, Guangzhou, China.
Hui LiDepartment of Thoracic Surgery, Southern Medical University Nanfang Hospital, Guangzhou, China.
Shengwu LiaoDepartment of Health Management, Southern Medical University Nanfang Hospital, Guangzhou, China.
Mei LiDepartment of Thoracic Surgery, Southern Medical University Nanfang Hospital, Guangzhou, China.ORCID 0000-0002-4264-8505
Nanfang Hospital · CN

Funding

Guangdong Medical Research Foundation A2022188Guangzhou Municipal Science and Technology Program key projects 202103000037
6 · The paper itself

Abstract

backgroundIn China, individuals diagnosed with esophageal cancer are confronted with an elevated risk of nutritional inadequacy or malnutrition throughout the course of their disease, a condition that contributes to various adverse clinical outcomes. A vast corpus of data are burgeoning at an unprecedented rate, primarily due to the revolutionary growth of digitalization technologies and artificial intelligence, notably within the domains of health care and medicine. The purpose of this investigation is to initiate the development of a nutritional screening and assessment indicator framework for patients with esophageal cancer within the Chinese context. We seek to furnish an instrumental reference to facilitate preparations for the forthcoming era of advanced, "deep," evidence-based medicine.

methodsAn integrative methodology was employed to forge the preliminary draft of the nutritional screening and assessment indicator system for preoperative patients with esophageal cancer. This encompassed a rigorous literature survey, in-depth clinical practice investigation, and the facilitation of expert panel discussions. Thereafter, two iterative consultation phases were conducted using the Delphi method in China. The analytic hierarchy process was deployed to ascertain the weighting of each index within the definitive evaluation indicator system.

resultsThe effective response rates for the dual rounds of expert consultation were 91.7% and 86.4%, with commensurate authority coefficients of 0.97 and 0.91. The Kendall harmony coefficients were ascertained to be 0.19 and 0.14 (p < 0.01), respectively. The culminating nutritional screening and assessment indicator system for patients with esophageal cancer comprised 5 primary-level indicators and 38 secondary-level indicators.

conclusionsThe nutritional screening and assessment indicator system contrived for patients with esophageal cancer is underpinned by cogent theoretical principles, leverages an astute research methodology, and manifests dependable outcomes. This system may be appositely utilized as a meaningful reference for the nutritional screening and assessment process in patients afflicted with esophageal cancer.

Indexed as

Early Detection of CancerEsophageal NeoplasmsArtificial IntelligenceChinaDelphi TechniqueHumansNutritional StatusNutrition AssessmentDelphi methodesophageal cancerindex systemnutritional assessmentnutritional screening

Identifiers

PMID37990781
PMCPMC10726821
OpenAlexW4388921981

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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.