Evidence map›Paper›PMID 30586463›Full record

ArticlePloS one2018

Incidence and risk factors for foot fractures in China: A retrospective population-based survey.

Song Liu, Yanbin Zhu, Lin Wang, Wei Chen, Xiaolin Zhang, Yingze Zhang

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.0field-weighted citation impact, top 23% 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

9 citing papers in PubMed, 16 citations in OpenAlex.

  1. Robot-assisted versus conventional percutaneous screw fixation in calcaneal fractures: a retrospective analysis.European journal of trauma and emergency surgery : official publication of the European Trauma Society · 2025
    Review
  2. Article
  3. A systematic analysis on global epidemiology and burden of foot fracture over three decades.Chinese journal of traumatology = Zhonghua chuang shang za zhi · 2025
    Article
  4. Article
  5. Review
  6. Review
  7. Article
  8. Traumatic fractures in China from 2012 to 2014: a National Survey of 512,187 individuals.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2020
    Article
  9. Review
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 at 1 institution in 1 country.

Song LiuDepartment of Orthopaedic Surgery, the Third Hospital of Hebei Medical University, Shijiazhuang, Hebei, P.R. China.
Yanbin ZhuDepartment of Orthopaedic Surgery, the Third Hospital of Hebei Medical University, Shijiazhuang, Hebei, P.R. China.
Lin WangDepartment of Orthopaedic Surgery, the Third Hospital of Hebei Medical University, Shijiazhuang, Hebei, P.R. China.
Wei ChenDepartment of Orthopaedic Surgery, the Third Hospital of Hebei Medical University, Shijiazhuang, Hebei, P.R. China.
Xiaolin ZhangDepartment of statistics and epidemiology, Hebei Medical University, Shijiazhuang, Hebei, P.R. China.
Yingze ZhangDepartment of Orthopaedic Surgery, the Third Hospital of Hebei Medical University, Shijiazhuang, Hebei, P.R. China.ORCID 0000-0002-8197-1161
Hebei Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe literature lacks population-based epidemiologic studies on the incidence and risk factors for traumatic foot fractures. The purpose of this study was to update information concerning the incidence of foot fractures in China and to identify associated risk factors.

methodsAll the data on foot fractures were available from the China National Fracture Survey (CNFS), which was conducted between January and May in 2015. A total of 8 provinces, 24 urban cities and 24 rural counties in China were selected, using stratified random sampling and the probability proportional to size method. Individuals who had lived in their current residence for 6 months or longer were personally interviewed about any foot fracture that had occurred in 2014. Questionnaires were completed by every participant for data collection and quality control was accomplished by our research team members. The information included age, gender, height, weight, ethnic group, education, occupation, smoking, alcohol consumption, sleeping time per day, dietary habits and others. Fracture was initially identified by patients' self report and further confirmed by their providing medical records.

resultsA total of 512187 individuals participated in the CNFS. There were 201 patients with foot fractures in 2014. Mean age at the time of fracture was 45.4 years. The incidence rate of foot fractures was 39.2 (95%CI: 33.8-44.7)/100000/year. Fall and traffic accident were the most common causes for foot fractures and over 60% of these occurred at home or on the road. Alcohol consumption, history of previous fracture and average sleep time <7h/d were identified as independent risk factors for foot fractures both in males and females. Cigarette smoking was identified as a significant risk factor for foot fracture in males. For females, BMI >24 kg/m2 was a risk factor whilst living in the west region was associated with a lower incidence rate of foot fracture.

conclusionsThe present study shows an incidence of 39.2/100000/year of foot fractures in China. Specific public health policies focusing on decreasing alcohol consumption and encouraging individuals to obtain sufficient sleep should be implemented. Females with a higher BMI should focus more on foot health care, especially in those with history of previous fracture.

Indexed as

Accidental FallsAccidents, TrafficAdolescentAdultAlcohol DrinkingChildChild, PreschoolChinaCigarette SmokingFemaleFoot InjuriesFractures, BoneHumansIncidenceInfantInfant, Newborn

Identifiers

PMID30586463
PMCPMC6306245
OpenAlexW2906207095

What OpenQuestion holds

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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.