Evidence map›Paper›PMID 34407755›Full record

ArticleBMC geriatrics2021

An early predictive model of frailty for older inpatients according to nutritional risk: protocol for a cohort study in China.

Hongpeng Liu, Jing Jiao, Minglei Zhu, Xianxiu Wen, Jingfen Jin, Hui Wang, Dongmei Lv, Shengxiu Zhao, Wei Chen, Xinjuan Wu and 1 more

Abstract read
In one paragraph

Article in BMC geriatrics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
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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

11 authors.

Hongpeng LiuDepartment of Nursing, Chinese Academy of Medical Sciences - Peking Union Medical College, Peking Union Medical College Hospital (Dongdan campus), No.1 Shuaifuyuan Wangfujing Dongcheng District, 100730, Beijing, China.
Jing JiaoDepartment of Nursing, Chinese Academy of Medical Sciences - Peking Union Medical College, Peking Union Medical College Hospital (Dongdan campus), No.1 Shuaifuyuan Wangfujing Dongcheng District, 100730, Beijing, China.
Minglei ZhuDepartment of Geriatrics, Chinese Academy of Medical Sciences - Peking Union Medical College, Peking Union Medical College Hospital (Dongdan campus), No.1 Shuaifuyuan Wangfujing Dongcheng District, 100730, Beijing, China.
Xianxiu WenDepartment of Nursing, Sichuan Provincial People's Hospital, No.32 West Second Section First Ring Road, 610072, Chengdu, China.
Jingfen JinDepartment of Nursing, The Second Affiliated Hospital, Zhejiang University School of Medicine, 88 Jiefang Road, 310009, Hangzhou, China.
Hui WangDepartment of Nursing, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1037 Luoyu Road, Hongshan District, 430074, Wuhan, China.
Dongmei LvDepartment of Nursing, The Second Affiliated Hospital of Haerbin Medical University, 246 Xuefu Road, 150081, Haerbin, China.
Shengxiu ZhaoDepartment of Nursing, Qinghai Provincial People's Hospital, 2 Gonghe Road, Chengdong District, 810007, Xining, China.
Wei Chen *Department of Clinical Nutrition, Department of Health Medicine, Chinese Academy of Medical Sciences - Peking Union Medical College, Peking Union Medical College Hospital, (Dongdan campus), No.1 Shuaifuyuan Wangfujing Dongcheng District, 100730, Beijing, China. pumchpnen@163.com.
Xinjuan Wu *Department of Nursing, Chinese Academy of Medical Sciences - Peking Union Medical College, Peking Union Medical College Hospital (Dongdan campus), No.1 Shuaifuyuan Wangfujing Dongcheng District, 100730, Beijing, China. wuxinjuan@sina.com.
Tao XuDepartment of Epidemiology and Statistics, Institute of Basic Medical Sciences, School of Basic Medicine, Chinese Academy of Medical Sciences, Peking Union Medical College, 5 Dongdan Santiao, Dongcheng District, 100005, Beijing, China.

Funding

the national natural science foundation of china 7207041784
6 · The paper itself

Abstract

backgroundPrevious reports suggest that the attributes of frailty are multidimensional and include nutrition, cognition, mentality, and other aspects. We aim to develop an early warning model of frailty based on nutritional risk screening and apply the frailty early warning model in the clinic to screen high-risk patients and provide corresponding intervention target information.

methodsThe proposed study includes two stages. In the first stage, we aim to develop a prediction model of frailty among older inpatients with nutritional risk. Study data were collected from a population-based aging cohort study in China. A prospective cohort study design will be used in the second stage of the study. We will recruit 266 older inpatients (age 65 years or older) with nutritional risk, and we will apply the frailty model in the clinic to explore the predictive ability of the model in participants, assess patients' health outcomes with implementation of the frailty model, and compare the model with existing frailty assessment tools. Patients' health outcomes will be measured at admission and at 30-day follow-up. DISCUSSION: This project is the first to develop an early prediction model of frailty for older inpatients according to nutritional risk in a nationally representative sample of Chinese older inpatients of tertiary hospitals. The results will hopefully help to promote the development of more detailed frailty assessment tools according to nutritional risk, which may ultimately lead to reduced health care costs and improvement in independence and quality of life among geriatric patients.

trial registrationChinese Clinical Trial Registry, ChiCTR1800017682 , registered August 9, 2018; and ChiCTR2100044148 , registered March 11, 2021.

Indexed as

FrailtyAgedChinaCohort StudiesFrail ElderlyGeriatric AssessmentHumansInpatientsProspective StudiesQuality of LifeLength of stayMalnutrition parametersMortalityNutritional status screeningOlder inpatientsReadmission

Identifiers

PMID34407755
PMCPMC8371757

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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.