Evidence map›Paper›PMID 33504344›Full record

ArticleBMC pediatrics2021

Development of a posterior sagittal anorectal surgical teaching model.

J A van Ling, G M J Bökkerink, I de Blaauw, S M B I Botden

Abstract read
In one paragraph

Article in BMC pediatrics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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. Article
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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.

J A van LingDepartment of Pediatric Surgery, Radboudumc - Amalia Children's Hospital, Route 618, Nijmegen, 6500 HB, the Netherlands.
G M J BökkerinkDepartment of Pediatric Surgery, Radboudumc - Amalia Children's Hospital, Route 618, Nijmegen, 6500 HB, the Netherlands.
I de BlaauwDepartment of Pediatric Surgery, Radboudumc - Amalia Children's Hospital, Route 618, Nijmegen, 6500 HB, the Netherlands.
S M B I BotdenDepartment of Pediatric Surgery, Radboudumc - Amalia Children's Hospital, Route 618, Nijmegen, 6500 HB, the Netherlands. Sanne.Botden@radboudumc.nl.ORCID 0000-0001-9134-5458

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAn Anorectal Malformation (ARM) is a rare congenital malformation, which requires proper correction to ensure the best long-term prognosis. These procedures are relatively infrequent and complex, in which a structured approach is important. Therefore, training on an affordable model could be beneficial.

methodsA low-cost ARM model was developed. The base was reusable and the perineal body disposable. Both expert pediatric surgeons (Experts) and residents/fellows (Target group) were recruited for this study. After testing the model, they completed a questionnaire regarding the realism and didactic value of the model, using a 5-point Likert scale.

resultsForty-four participants were recruited (Target group n = 20, Experts n = 24). The model has high mean scores of 3.8-4.4 for the total group and even higher on several aspects by the Target group. The experts regarded the haptics and manipulation of the fistula less realistic than the Target group (3.7 versus 4.3, p = 0.021 and 4.2 versus 4.6, p = 0.047). It was considered to be a very good training tool (mean 4.3), without significant differences between the groups.

conclusionsThese results show general consensus that this model is a potent training tool for the component steps of the repair of an ARM with recto-perineal fistula by sagittal approach.

Indexed as

Anorectal MalformationsPlastic Surgery ProceduresAnal CanalChildHumansRectumAnorectal malformationsInanimate modelPosterior sagittal anorectoplastySurgical training

Identifiers

PMID33504344
PMCPMC7839225

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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.