Evidence map›Paper›PMID 36158765›Full record

ArticleEmergency medicine international2022

Study on the Influencing Factors of Osteoarthritis in Southern China.

Danqing Lu, Xiaomin Ding, Wenqing Lu

RetractedOpen access · goldAbstract readRetracted Publication
In one paragraph

Article in Emergency medicine international, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.3field-weighted citation impact, top 39% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors at 2 institutions in 1 country.

Danqing LuDepartment of Orthopedics, The Second People's Hospital of Kunshan, Suzhou, Jiangsu, China.
Xiaomin DingDepartment of Orthopedics, The Second Affiliated Hospital of Nantong University, Nantong, Jiangsu, China.
Wenqing LuDepartment of Orthopedics, The Second People's Hospital of Kunshan, Suzhou, Jiangsu, China.ORCID https://orcid.org/0000-0002-6424-144X
Jiangsu University · CNNantong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Osteoarthritis (OA) is a common chronic disease with numerous and interacting influencing factors, and current inadequate patient perceptions and behaviors in access to care contribute to the difficulties in the diagnosis, treatment, and management of osteoarthritis. Objective: The purpose of this study was to investigate the influencing factors of osteoarthritis (OA) in a southern Chinese population and to provide a scientific basis for the prevention and treatment of OA. Methods: A 1 : 2 matched case-control study was used to select 160 patients with OA from three hospitals in southern China as a case group. Three hundred and twenty cases of the same sex and similar age (within ± 2 years) were selected as the control group, and relevant data were collected for univariate and multivariate conditional logistic regression analysis. Results: There were no significant differences between the two groups of participants in terms of age, sex, and education ( Conclusion: Obesity, alcohol consumption, and a history of joint trauma all increase the risk of OA in a southern Chinese population, whereas a diet rich in fresh vegetables, fresh fruit, soy products, and sun exposure would reduce the risk of OA. In the future, we should focus on improving patients' awareness of medical care and developing their self-management skills, improving GPs' treatment skills, improving negative attitudes of both doctors and patients, and promoting positive patient care.

Identifiers

PMID36158765
PMCPMC9492436
OpenAlexW4295779883

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.