Evidence map›Paper›PMID 39070536›Full record

ArticleJournal of clinical biochemistry and nutrition2024

Nutritional status and body composition of patients with head and neck cancer treated with perioperative evidence-based nutritional management.

Zhen Ding, Lingmei Zhou, Yan Zhou, Kemei Jin, Runjinxing Wu, Yihua Gui

Abstract read
In one paragraph

Article in Journal of clinical biochemistry and nutrition, 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. Early postoperative body-composition trajectories and exploratory ratio-defined phenotypes after laryngectomy for laryngeal cancer: a prospective cohort study.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2026
    Article
  2. Review
  3. Dynamic changes in nutritional parameters, inflammatory, and immune biomarkers during (chemo-) radiotherapy for head and neck cancer: a prospective longitudinal study.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2025
    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

6 authors.

Zhen DingClincal Nutrition Department, Ningbo Medical Center Li Huili Hospital, Zhejiang Province, 315000, China.
Lingmei ZhouClincal Nutrition Department, Ningbo Medical Center Li Huili Hospital, Zhejiang Province, 315000, China.
Yan ZhouDepartment of Otolaryngology, Head and Neck Surgery, Ningbo Medical Center Li Huili Hospital, Zhejiang Province, 315000, China.
Kemei JinClincal Nutrition Department, Ningbo Medical Center Li Huili Hospital, Zhejiang Province, 315000, China.
Runjinxing WuClincal Nutrition Department, Ningbo Medical Center Li Huili Hospital, Zhejiang Province, 315000, China.
Yihua GuiDepartment of Otolaryngology, Head and Neck Surgery, Ningbo Medical Center Li Huili Hospital, Zhejiang Province, 315000, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We aimed to describe nutritional status and body composition profiles perioperative head and neck cancer (HNC) patients managed with whole-course nutritional support. Scored Nutritional Risk Screening (NRS 2002), Patient-Generated Subjective Global Assessment (PG-SGA), and body composition were conducted. The factors related to weight loss and skeletal muscle mass (SMM) were identified. Lower weight and body composition levels in low skeletal muscle index (SMI≤9.90 kg/m

Indexed as

body compositionhead and neck cancernutrition statusperioperative periodweight loss

Identifiers

PMID39070536
PMCPMC11273269

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.