Evidence map›Paper›PMID 35812603›Full record

ArticleCureus2022

Quantitative Analysis of Barriers to Clubfoot Treatment Experienced at a Tertiary Care Institute in India.

Saral J Patel, Manish V Shah, Mitul Mistry, Ravindra Zala, Himanshu Panchal, Mukund Prabhakar, Bhautik Modi

Open access · diamondAbstract read
In one paragraph

Article in Cureus, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.7field-weighted citation impact, top 34% 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

4 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
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  4. 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 3 institutions in 1 country.

Saral J PatelDepartment of Orthopaedics, Dr. N.D. Desai Faculty of Medical Science and Research, Nadiad, IND.
Manish V ShahDepartment of Orthopaedics, Gujarat Medical Education & Research Society (GMERS) Medical College, Ahmedabad, IND.
Mitul MistryDepartment of Orthopaedics, Gujarat Medical Education & Research Society (GMERS) Medical College, Gandhinagar, IND.
Ravindra ZalaDepartment of Orthopaedics, B.J. Medical College, Ahmedabad, IND.
Himanshu PanchalDepartment of Orthopaedics, B.J. Medical College, Ahmedabad, IND.
Mukund PrabhakarDepartment of Orthopaedics, B.J. Medical College, Ahmedabad, IND.
Bhautik ModiDepartment of Community and Family Medicine, All India Institute of Medical Sciences, Rajkot, IND.
B.J. Medical College · INGujarat Cancer Society · INAll India Institute of Medical Sciences · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe Ponseti method of treating clubfeet is considered the gold standard. However, there are specific barriers to implementing the Ponseti method for clubfoot treatment, especially in developing countries like India.

methodsThis is a retrospective study on patients who underwent the Ponseti method for clubfoot treatment at a tertiary care hospital in India. A total of 110 patients were enrolled for this study and were interviewed at the initiation of treatment and at each follow-up to identify the barriers, and their correlation to dropout rate was analyzed.

resultsOn applying binary logistic regression, which shows the cumulative effect of all variables, the effect of the parent accompanying the patient was significant on compliance and dropout rate.

conclusionInformed parents play a significant role in compliance with the treatment. The study results can help formulate an action plan to improve adherence to the Ponseti method for treating clubfoot throughout India and other developing countries.

Indexed as

barriersclubfootcompliancedropout rateindiaquantitative analysis

Identifiers

PMID35812603
PMCPMC9270196
OpenAlexW4281764504

What OpenQuestion 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 OpenQuestion graph.