Evidence map›Paper›PMID 26105983›Full record

ArticleObesity surgery2016

Management of Excessive Weight Loss Following Laparoscopic Roux-en-Y Gastric Bypass: Clinical Algorithm and Surgical Techniques.

Ikemefuna Akusoba, T Javier Birriel, Maher El Chaar

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In one paragraph

Article in Obesity surgery, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
2.1field-weighted citation impact, top 14% 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

5 citing papers in PubMed, 18 citations in OpenAlex.

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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

3 authors at 1 institution in 1 country.

Ikemefuna AkusobaDepartment of General Surgery, Division of Bariatric Surgery, St. Luke's University Health Network, Allentown, PA, USA.
T Javier BirrielDepartment of General Surgery, Division of Bariatric Surgery, St. Luke's University Health Network, Allentown, PA, USA.
Maher El ChaarDepartment of General Surgery, Division of Bariatric Surgery, St. Luke's University Health Network, Allentown, PA, USA. Maher.Elchaar@sluhn.org.
St. Luke's University Health Network · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThere are no clinical guidelines or published studies addressing excessive weight loss and protein calorie malnutrition following a standard Roux-en-Y gastric bypass (RYGB) to guide nutritional management and treatment strategies. This study demonstrates the presentation, clinical algorithm, surgical technique, and outcomes of patients afflicted and successfully treated with excessive weight loss following a standard RYGB.

methodsThree patients were successfully reversed to normal anatomy after evaluation, management, and treatment by multidisciplinary team. Lowest BMI (kg/m(2)) was 18.9, 17.9, and 14.2, respectively.

resultsTwelve-month post-operative BMI (kg/m(2)) was 28.9, 22.8, and 26.1, respectively. Lowest weight (lbs) was 117, 128, and 79, respectively. Twelve-month post-operative weight (lbs) was 179, 161, and 145, respectively. Pre-reversal gastrostomy tube was inserted into the remnant stomach to demonstrate weight gain and improve nutritional status prior to reversal to original anatomy.

conclusionWe propose a practical clinical algorithm for the work-up and management of patients with excessive weight loss and protein calorie malnutrition after standard RYGB including reversal to normal anatomy.

Indexed as

Weight LossAdultAlgorithmsBody Mass IndexDisease ManagementFemaleGastric BypassGastric StumpGastrostomyHumansLaparoscopyMaleMiddle AgedObesity, MorbidProtein-Energy MalnutritionReoperationExcessive weight lossGastric bypass reversalProtein calorie malnutritionRoux-en-Y gastric bypass

Identifiers

PMID26105983
OpenAlexW841590299

What OpenQuestion holds

Textmetadata
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.