Evidence map›Paper›PMID 37474789›Full record

ArticleScientific reports2023

A study on the effect of radiographic angles on clubfoot's recurrence.

Mohammad Ali Tahririan, Sara Kheiri, Mohammadreza Jannesari Ladani, Mohammadreza Piri Ardakani

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–field-weighted citation impact, top 89% 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, 1 synthesis or guideline pooled it, 0 citations in OpenAlex.

  1. Pooled it
  2. 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

4 authors at 1 institution in 1 country.

Mohammad Ali TahririanIsfahan University of Medical Sciences, Isfahan, Iran.
Sara KheiriIsfahan University of Medical Sciences, Isfahan, Iran. Sara2013kh8@gmail.com.
Mohammadreza Jannesari LadaniIsfahan University of Medical Sciences, Isfahan, Iran.
Mohammadreza Piri ArdakaniIsfahan University of Medical Sciences, Isfahan, Iran.
Isfahan University of Medical Sciences · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Clubfoot is one of the common orthopaedic deformities. However, regardless of its' treatment high success rate, recurrence of the deformity is a serious issue. The aim of this study is to evaluate if radiographic angles can be used for clubfoot recurrence prediction. This is a prospective study on 91 patients (134 feet) with mean age of 9.5 ± 2.3 days and male/female ratio of 2/1 on patients with congenital clubfoot admitted to our hospital. Pre and one-year post-tenotomy tibiocalcaneal (TIC-L), talocalcaneal (TC-L) and calcaneal-first metatarsal angles (C1M-L) in the lateral view of the patients' radiographs, and their recurrence status until three years were measured. Ten feet experienced relapse. The mean pre and one-year follow-up measurements of TC-L, C1M-L, and TIC-L angles were significantly different between patients who experienced relapse and others (P < .05). The cut-off points of 1.75 and 6.5 for one-year follow-up Pirani and Dimeglio scores for recurrence prediction were suggested respectively. Also, cut-off points of 26.5 and 79.5 for one-year follow-up TC-L and TIC-L angles for recurrence prediction were calculated, respectively. We demonstrated that the pre-tenotomy and one-year follow-up TIC-L, TC-L, and C1M-L angles are helpful in clubfoot recurrence prediction after Ponseti treatment.

Indexed as

ClubfootCasts, SurgicalChildFemaleFollow-Up StudiesHumansInfantMaleProspective StudiesRecurrenceTenotomyTreatment Outcome

Identifiers

PMID37474789
PMCPMC10359333
OpenAlexW4384924173

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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.