Evidence map›Paper›PMID 36945076›Full record

ReviewJournal of obesity & metabolic syndrome2023

Weight Loss Prediction after Metabolic and Bariatric Surgery.

Ji Yeon Park

Abstract readReview
In one paragraph

Review in Journal of obesity & metabolic syndrome, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 2 pooled it
–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

28 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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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

1 author.

Ji Yeon ParkDepartment of Surgery, School of Medicine, Kyungpook National University, Daegu, Korea.ORCID https://orcid.org/0000-0002-6178-7906

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Metabolic/bariatric surgery is currently the most effective measure to treat morbid obesity and obesity-related comorbidities such as type 2 diabetes. It has proven effective not only in terms of short-term weight loss, but also in maintaining the lower body weight for several decades. Such weight loss improves patient quality of life and extends life expectancy. It is crucial for patients to understand the likely results of a given bariatric procedure so that they can make an informed decision about whether to undergo surgery. The amount of weight loss after metabolic/bariatric surgery is usually the most important outcome of interest to patients considering surgical treatment. It is also the most common primary endpoint for healthcare providers. Patients undergoing surgery want tangible and realistic expectations about how much weight they could lose after surgery, and healthcare professionals need to determine at each follow-up visit after surgery whether patients are on track to reach their weight loss target so they can provide timely intervention to patients with insufficient weight loss or weight regain. Weight loss after metabolic/bariatric surgery is influenced by many clinical variables, including initial body mass index, age, gender, ethnicity, and type of surgery. A well-validated chronological weight loss prediction model would enable patient-centered counseling and goal setting. This review summarizes and compares several publicly available prediction models.

Indexed as

Bariatric surgerymorbidObesityWeight loss

Identifiers

PMID36945076
PMCPMC10088553

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.