Evidence map›Paper›PMID 34594879›Full record

ArticleChina CDC weekly2021

Epidemiological Characteristics of Osteoarthritis in Yichang City - Hubei Province, China, 2017-2018.

Yingying Zhang, Jiajuan Yang, Tanchun Yu, Li Ma, Yuewei Cheng, Xudong Li

Open access · diamondAbstract read
In one paragraph

Article in China CDC weekly, 2021. 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
0.5field-weighted citation impact, top 35% 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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Article
  3. 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 at 3 institutions in 1 country.

Yingying ZhangOffice of Epidemiology, Chinese Center for Disease Control and Prevention, Beijing, China.
Jiajuan YangYichang Center for Disease Control and Prevention, Yichang, Hubei, China.
Tanchun YuZhongguancun Institute of National Health Big Data, Beijing, China.
Li MaOffice of Epidemiology, Chinese Center for Disease Control and Prevention, Beijing, China.
Yuewei ChengShandong Provincial Armed Police Corps Hospital, Jinan, Shandong, China.
Xudong LiOffice of Epidemiology, Chinese Center for Disease Control and Prevention, Beijing, China.
Chinese Center For Disease Control and Prevention · CNJiangSu Armed Police General Hospital · CNSecond Hospital of Yichang · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

WHAT IS ALREADY KNOWN ABOUT THIS TOPIC?: OA has been listed as the fastest increasing major public health problem and ranked second as a cause of disability by World Health Organization (WHO). With population aging, osteoarthritis (OA) is causing an increased economic burden for individuals and society and is attracting an increasing amount of scientific attention. WHAT IS ADDED BY THIS REPORT?: This research used healthcare data to analyze the epidemiological characteristics of OA in Yichang City, Hubei Province, China. The exact number and distribution of patients were obtained, and a descriptive analysis of OA visits by age, gender, and season was performed. Knee joint disease among women was most common, followed by other joint diseases. Knee osteoarthritis was the most common OA diagnosis between 60 and 69 years of age. WHAT ARE THE IMPLICATIONS FOR PUBLIC HEALTH PRACTICE?: In China, the prevalence of OA among middle-age and elderly people was high. With increases in the size of the elderly population, the burden of disease caused by OA may increase. It is necessary to strengthen publicity to improve people's awareness of self-health care of bone and joint. Interventions and preventive strategies targeting high-risk groups are urgently needed in order to improve healthy bones and healthy life quality among middle-age and elderly people.

Identifiers

PMID34594879
PMCPMC8393073
OpenAlexW3156245897

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.