Evidence map›Paper›PMID 29343754›Full record

ArticleScientific reports2018

Development and validation of a brief diabetic foot ulceration risk checklist among diabetic patients: a multicenter longitudinal study in China.

Qiuhong Zhou, Min Peng, Lihuan Zhou, Jiaojiao Bai, Ao Tong, Min Liu, In I Ng, Yuxia Cheng, Yunmin Cai, Yujin Yang and 7 more

Open access · goldAbstract readMulticenter Study
In one paragraph

Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
2.0field-weighted citation impact, top 13% 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

17 citing papers in PubMed, 34 citations in OpenAlex.

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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

17 authors at 13 institutions in 1 country.

Qiuhong ZhouDepartment of Outpatient, Xiangya Hospital, Central South University, Changsha, Hunan, China.
Min PengXiangya School of Nursing, Central South University, Changsha, Hunan, China.
Lihuan ZhouXiangya School of Nursing, Central South University, Changsha, Hunan, China.
Jiaojiao BaiDepartment of Nursing, Huadong Hospital Affiliated to Fudan University, Shanghai, China.
Ao TongDepartment of Endocrinology, Air Force General Hospital of PLA, Beijing, China.
Min LiuDepartment of Endocrinology, West China Hospital of Sichuan University, Chengdu, Sichuan, China.
In I NgDiabetes Care Center, Kiang Wu Hospital, Macau, China.
Yuxia ChengDepartment of Endocrinology, The 306th Hospital of PLA, Beijing, China.
Yunmin CaiWound Healing Center, Jinshan Hospital Affiliated to Fudan University, Shanghai, China.
Yujin YangDepartment of Nursing, The Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China.
Yilian ChenDepartment of Gastroenterology, Puai Hospital, Huazhong University of Science and Technology, Wuhan, Hubei, China.
Suwen GaoDepartment of Endocrinology, Handan Central Hospital, Handan, Hebei, China.
Zhong LiDepartment of Nursing, Qinghai Red Cross Hospital, Xining, Qinghai, China.
Xiaoai FuDepartment of Endocrinology, Xiangya Hospital, Central South University, Changsha, Hunan, China.
Minxue ShenDepartment of Dermatology, Xiangya Hospital, Central South University, Changsha, Hunan, China. snowflake0921@163.com.
Jianglin ZhangDepartment of Dermatology, Xiangya Hospital, Central South University, Changsha, Hunan, China. leozjl1010@126.com.
Xiang ChenDepartment of Dermatology, Xiangya Hospital, Central South University, Changsha, Hunan, China.
Central South University · CNXiangya Hospital Central South University · CNAir Force General Hospital PLA · CNHandan College · CNHuadong Hospital · CNHuazhong University of Science and Technology · CNHunan Cancer Hospital · CNJinshan Hospital of Fudan University · CNKiang Wu Hospital · CNPLA 306 Hospital · CNQinghai Red Cross Hospital · CNSecond Affiliated Hospital of Nanchang University · CNWest China Hospital of Sichuan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The study aims to develop and assess and validate a brief diabetic foot ulceration risk checklist among diabetic patients through a longitudinal study. Patients who had diabetes mellitus and had no foot ulceration and severe systematic disorders were recruited from eleven tertiary hospitals in nine provinces or municipalities of China. Internal consistency reliability, construct validity, concurrent validity, item property, and measurement invariance of the tool were assessed. The predictive capability of the tool was validated by the follow-up data using the receiver operating characteristic curve. At baseline, 477 valid cases were collected. Twelve items were remained after initial selection. Cronbach's alpha was 0.56. Confirmatory factor analysis showed that the model had acceptable goodness-of-fit yet local dependency between two items. Item response theory showed that most items had acceptable discrimination and difficulty parameters. Differential item functioning showed that tool had measurement invariance. 278 were followed up one year after the baseline. Follow-up showed that one-year incidence of ulceration among the patients was 3.6%, and the area under the receiver operating characteristic curve was 0.77 (95% confidence interval: 0.61-0.93). The cut-off point of the tool was 4, when sensitivity and specificity were 0.62 and 0.75 respectively. The checklist has good psychometric properties according to mixed evidences from classical and modern test theory, and has good predictive capability.

Indexed as

ChecklistChinaDiabetes MellitusDiabetic FootFactor Analysis, StatisticalFemaleFollow-Up StudiesHumansLongitudinal StudiesMaleMiddle AgedProspective StudiesPsychometricsReproducibility of ResultsRiskROC Curve

Identifiers

PMID29343754
PMCPMC5772364
OpenAlexW2783436423

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.