Evidence map›Paper›PMID 35060020›Full record

ArticleObesity surgery2022

Bariatric Tele-screening During the COVID-19 Pandemic: Holding Back for Direct Approval?

Yentl Lodewijks, Simon Nienhuijs

Abstract read
In one paragraph

Article in Obesity surgery, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 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

2 authors.

Yentl LodewijksDepartment of Obesity Surgery, Catharina Hospital Eindhoven, Michelangelolaan 2, 5623 EJ, Eindhoven, The Netherlands. Yentl.lodewijks@catharinaziekenhuis.nl.ORCID 0000-0002-0733-8886
Simon NienhuijsDepartment of Obesity Surgery, Catharina Hospital Eindhoven, Michelangelolaan 2, 5623 EJ, Eindhoven, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeMany bariatric centers were restricted from providing routine care for outpatients. Telehealth visits allowed the continued care for outpatients and thus the preoperative screening for bariatric candidates. The objective of this study was to evaluate the effect of tele-screening on the multidisciplinary obesity team's decision (MDD) for bariatric surgery: disapproval, direct approval, or a recommendation for a prehabilitation program. MATERIALS AND

methodsHospital data were collected from patients who underwent face-to-face or tele-screening for bariatric surgery between April and December 2020. The tele-screening cohort was then compared with a propensity-matched cohort of patients with face-to-face consultations. A chi-square and multinomial logistic regression analyses were performed.

resultsAfter propensity matching, 396 patients remained for analysis. The majority received preoperative prehabilitation advice in both the tele-screening and face-to-face group (51% versus 50%). Although not significant, there were more direct approvals and fewer denials in the face-to-face group (p = 0.691). The multinomial logistic regression analysis showed no significant impact of tele-screening on the MDD result.

conclusionTele-screening in bariatric centers is feasible; the multidisciplinary team's decision was not significantly different between tele-screening and face-to-face screening which encourages the use of tele-screening in the future. An insignificant amount of fewer direct approvals and more denials were observed in the tele-screening group, which should be taken into account in future and larger case studies.

Indexed as

Bariatric SurgeryCOVID-19Obesity, MorbidTelemedicineHumansPandemicsBariatric surgery screeningMultidisciplinary teamTelemedicine

Identifiers

PMID35060020
PMCPMC8776359

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Registered trials

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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.