Evidence map›Paper›PMID 36394054›Full record

ArticleJournal of pain research2022

Establishment and Validation of a Predictive Nomogram for Hallux Valgus with Pain Under the Second Metatarsal.

Zixing Bai, Xuhan Cao, Yanjun Yang, Xudong Sun, Yongli Dong, Jianmin Wen, Weidong Sun

Open access · goldAbstract read
In one paragraph

Article in Journal of pain research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.4field-weighted citation impact, top 42% 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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. 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

7 authors at 2 institutions in 1 country.

Zixing Bai *Second Department of Orthopedics, Wangjing Hospital of China Academy of Chinese Medical Sciences, Beijing, People's Republic of China.
Xuhan Cao *Second Department of Orthopedics, Wangjing Hospital of China Academy of Chinese Medical Sciences, Beijing, People's Republic of China.
Yanjun YangSecond Department of Orthopedics, Wangjing Hospital of China Academy of Chinese Medical Sciences, Beijing, People's Republic of China.
Xudong SunSecond Department of Orthopedics, Wangjing Hospital of China Academy of Chinese Medical Sciences, Beijing, People's Republic of China.
Yongli DongScientific Research Department, Wangjing Hospital of China Academy of Chinese Medical Sciences, Beijing, People's Republic of China.
Jianmin WenSecond Department of Orthopedics, Wangjing Hospital of China Academy of Chinese Medical Sciences, Beijing, People's Republic of China.
Weidong SunSecond Department of Orthopedics, Wangjing Hospital of China Academy of Chinese Medical Sciences, Beijing, People's Republic of China.
Wangjing Hospital of China Academy of Chinese Medical Sciences · CNChinese Academy of Medical Sciences & Peking Union Medical College · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To investigate the risk factors for hallux valgus complicated with pain under the second metatarsal and construct an effective model and method for predicting hallux valgus complicated with pain under the second metatarsal based on risk factors. Methods: A total of 545 patients with hallux valgus who were admitted to our hospital were divided randomly into a training set and a validation set. The demographic characteristics, imaging indices and gait test indices of the patients were collected. The risk factors were identified by univariate and multivariate logistic regression analyses. A risk prediction model for hallux valgus with pain under the second metatarsal was established, and the area under the curve (AUC) of the receiver operating characteristic and a decision curve analysis were used for verification and identification. The value of the model was tested in the verification group. Results: Second metatarsal length, second metatarsal peak pressure, hallux valgus angle (HVA), intermetatarsal angle 1-2 (IMA1-2) and weight were the risk factors for hallux valgus complicated with pain under the second metatarsal. Based on the weighting of these seven risk factors, a prediction model was established. The AUC of the prediction model was 0.84 (95% confidence interval [CI]: 0.802~0.898, Conclusion: Second metatarsal length, second metatarsal peak pressure, HVA, IMA1-2 and weight were the risk factors for hallux valgus combined with second metatarsal pain. The risk prediction model for hallux valgus complicated with pain under the second metatarsal based on these seven variables was proven effective. Level of Evidence: Level III, retrospective comparative study.

Indexed as

hallux valgusmetatarsalgianomogrampredictive modelrisk factors

Identifiers

PMID36394054
PMCPMC9651065
OpenAlexW4308450959

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.