Evidence map›Paper›PMID 34584226›Full record

Observational studyEuropean journal of clinical nutrition2022

Several anthropometric measurements and cancer mortality: predictor screening, threshold determination, and joint analysis in a multicenter cohort of 12138 adults.

Liangyu Yin, Ling Zhang, Na Li, Jing Guo, Lijuan Liu, Xin Lin, Yang Fan, Jie Liu, Mengyuan Zhang, Feifei Chong and 21 more

Abstract readMulticenter StudyObservational Study
PubMed Publisher
In one paragraph

Observational study in European journal of clinical nutrition, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 22 citations in OpenAlex.

  1. Pooled it
  2. Observational
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Frontiers in nutrition · 2022
    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

31 authors at 7 institutions in 1 country.

Liangyu YinDepartment of Clinical Nutrition, Daping Hospital, Army Medical University (Third Military Medical University), Chongqing, 400042, China.ORCID http://orcid.org/0000-0001-8876-2680
Ling ZhangDepartment of Clinical Nutrition, Daping Hospital, Army Medical University (Third Military Medical University), Chongqing, 400042, China.
Na LiDepartment of Clinical Nutrition, Daping Hospital, Army Medical University (Third Military Medical University), Chongqing, 400042, China.
Jing GuoDepartment of Clinical Nutrition, Daping Hospital, Army Medical University (Third Military Medical University), Chongqing, 400042, China.
Lijuan LiuDepartment of Clinical Nutrition, Daping Hospital, Army Medical University (Third Military Medical University), Chongqing, 400042, China.
Xin LinDepartment of Clinical Nutrition, Daping Hospital, Army Medical University (Third Military Medical University), Chongqing, 400042, China.
Yang FanDepartment of Clinical Nutrition, Daping Hospital, Army Medical University (Third Military Medical University), Chongqing, 400042, China.
Jie LiuDepartment of Clinical Nutrition, Daping Hospital, Army Medical University (Third Military Medical University), Chongqing, 400042, China.
Mengyuan ZhangDepartment of Clinical Nutrition, Daping Hospital, Army Medical University (Third Military Medical University), Chongqing, 400042, China.
Feifei ChongDepartment of Clinical Nutrition, Daping Hospital, Army Medical University (Third Military Medical University), Chongqing, 400042, China.
Xiao ChenCancer Center of the First Hospital of Jilin University, Changchun, Jilin, 130021, China.
Chang WangCancer Center of the First Hospital of Jilin University, Changchun, Jilin, 130021, China.
Xu WangCancer Center of the First Hospital of Jilin University, Changchun, Jilin, 130021, China.
Tingting LiangCancer Center of the First Hospital of Jilin University, Changchun, Jilin, 130021, China.
Xiangliang LiuCancer Center of the First Hospital of Jilin University, Changchun, Jilin, 130021, China.
Li DengCancer Center of the First Hospital of Jilin University, Changchun, Jilin, 130021, China.
Wei LiCancer Center of the First Hospital of Jilin University, Changchun, Jilin, 130021, China.
Mei YangDepartment of Medical Oncology, Fujian Cancer Hospital, Fujian Medical University Cancer Hospital, Fuzhou, Fujian, 350014, China.
Jiami YuDepartment of Medical Oncology, Fujian Cancer Hospital, Fujian Medical University Cancer Hospital, Fuzhou, Fujian, 350014, China.
Xiaojie WangDepartment of Medical Oncology, Fujian Cancer Hospital, Fujian Medical University Cancer Hospital, Fuzhou, Fujian, 350014, China.
Xing LiuDepartment of Nutrition and Metabolism of Oncology, the First Affiliated Hospital of University of Science and Technology of China (Anhui Provincial Cancer Hospital), Hefei, Anhui, 230031, China.
Shoumei YangDepartment of Nutrition and Metabolism of Oncology, the First Affiliated Hospital of University of Science and Technology of China (Anhui Provincial Cancer Hospital), Hefei, Anhui, 230031, China.
Zheng ZuoDepartment of Nutrition and Metabolism of Oncology, the First Affiliated Hospital of University of Science and Technology of China (Anhui Provincial Cancer Hospital), Hefei, Anhui, 230031, China.
Kaitao YuanCenter of Gastrointestinal Surgery, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, Guangdong, 510080, China.
Miao YuCenter of Gastrointestinal Surgery, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, Guangdong, 510080, China.
Chunhua SongDepartment of Epidemiology, College of Public Health, Zhengzhou University, Zhengzhou, Henan, 450001, China.ORCID http://orcid.org/0000-0001-6028-5923
Jiuwei CuiCancer Center of the First Hospital of Jilin University, Changchun, Jilin, 130021, China.ORCID http://orcid.org/0000-0001-6496-7550
Suyi LiDepartment of Nutrition and Metabolism of Oncology, the First Affiliated Hospital of University of Science and Technology of China (Anhui Provincial Cancer Hospital), Hefei, Anhui, 230031, China. njlisuyi@sina.com.ORCID http://orcid.org/0000-0003-0581-0638
Zengqing GuoDepartment of Medical Oncology, Fujian Cancer Hospital, Fujian Medical University Cancer Hospital, Fuzhou, Fujian, 350014, China. gzq_005@126.com.ORCID http://orcid.org/0000-0002-9645-5186
Hanping ShiDepartment of Gastrointestinal Surgery and Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038, China. shihp@ccmu.edu.cn.ORCID http://orcid.org/0000-0003-4514-8693
Hongxia XuDepartment of Clinical Nutrition, Daping Hospital, Army Medical University (Third Military Medical University), Chongqing, 400042, China. hx_xu2015@163.com.ORCID http://orcid.org/0000-0001-5215-734X
Army Medical University · CNJilin University · CNFujian Medical University · CNUniversity of Science and Technology of China · CNSun Yat-sen University · CNCapital Medical University · CNZhengzhou University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAnthropometric measurements (AMs) are cost-effective surrogates for evaluating body size. This study aimed to identify the optimal prognostic AMs, their thresholds, and their joint associations with cancer mortality.

methodsWe performed an observational cohort study including 12138 patients with cancer at five institutions in China. Information on demographics, disease, nutritional status, and AMs, including the body mass index, mid-arm muscle circumference, mid-arm circumference, handgrip strength, calf circumference (CC), and triceps-skinfold thickness (TSF), was collected and screened as mortality predictors. The optimal stratification was used to determine the thresholds to categorize those prognostic AMs, and their associations with mortality were estimated independently and jointly by calculating multivariable-adjusted hazard ratios (HRs).

resultsThe study included 5744 females and 6394 males with a mean age of 56.9 years. The CC and TSF were identified as better mortality predictors than other AMs. The optimal thresholds were women 30 cm and men 32.8 cm for the CC, and women 21.8 mm and men 13.6 mm for the TSF. Patients in the low CC or low TSF group had a 13% (HR = 1.13, 95% CI = 1.03-1.23) and 22% (HR = 1.22, 95% CI = 1.12-1.32) greater mortality risk compared with their normal CC/TSF counterparties, respectively. Concurrent low CC and low TSF showed potential joint effect on mortality risk (HR = 1.39, 95% CI = 1.25-1.55).

conclusionsThese findings support the importance of assessing the CC and TSF simultaneously in hospitalized cancer patients to guide interventions to optimize their long-term outcomes.

Indexed as

Hand StrengthNeoplasmsAdultAnthropometryBody Mass IndexCohort StudiesEarly Detection of CancerFemaleHumansMaleMiddle AgedNutritional Status

Identifiers

PMID34584226
OpenAlexW3203539320

What OpenQuestion holds

Textmetadata
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.