Evidence map›Paper›PMID 40388098›Full record

SynthesisObesity surgery2025

Hair Loss and Metabolic and Bariatric Surgery: An Updated Systematic Review and Meta-analysis.

Nima Taghizadeh, Hussein Salhab, Ali Alirezaei, Khosrow Najjari, Wah Yang, Raziyhe Abedi-Kichi, Ali Esparham, Shahab Shahabi Shahmiri

Abstract readSystematic ReviewMeta-Analysis
PubMed Publisher
In one paragraph

Synthesis in Obesity surgery, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 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

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Review
  4. 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

8 authors.

Nima TaghizadehTehran University of Medical Sciences, Tehran, Iran.
Hussein SalhabTehran University of Medical Sciences, Tehran, Iran.
Ali AlirezaeiTehran University of Medical Sciences, Tehran, Iran.
Khosrow NajjariTehran University of Medical Sciences, Tehran, Iran. Khosrownajj63@gmail.com.
Wah YangFirst Affiliated Hospital of Jinan University, Guangzhou, China. yangwah@qq.com.
Raziyhe Abedi-KichiIsfahan University of Medical Sciences, Isfahan, Iran.
Ali EsparhamMashhad University of Medical Sciences, Mashhad, Iran.
Shahab Shahabi ShahmiriCenter of Excellence of European Branch of International Federation for Surgery of Obesity, Hazrat-e Fatemeh Hospital, School of Medicine, Iran University of Medical Sciences, Tehran, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The current updated systematic review and meta-analysis aims to investigate the rate of hair loss after metabolic and bariatric surgery (MBS). A systematic search was done on PubMed, Scopus, Google Scholar, and Web of Science. The primary outcome of this study was to investigate the incidence of hair loss following MBS. In this meta-analysis of 41 articles with 7044 patients, our results showed that the incidence of hair loss after MBS was 47%. In addition, Roux-en-Y gastric bypass had a significantly higher rate of hair loss than sleeve gastrectomy (OR = 1.91). On the other hand, Roux-en-Y gastric bypass had a significantly lower rate of hair loss compared to duodenal switch (OR = 0.41). Hair loss is a common complication after MBS, especially after the duodenal switch and Roux-en-Y gastric bypass.

Indexed as

AlopeciaBariatric SurgeryGastric BypassObesity, MorbidPostoperative ComplicationsGastrectomyHumansIncidenceAlopeciaHair lossMetabolic and bariatric surgeryObesityWeight loss surgery

Identifiers

PMID40388098

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.