Evidence map›Paper›PMID 33044608›Full record

ArticleHernia : the journal of hernias and abdominal wall surgery2021

Management of ventral hernia in patients with BMI > 30 Kg/m

S J Baig, P Priya

Abstract read
PubMed Publisher
In one paragraph

Article in Hernia : the journal of hernias and abdominal wall surgery, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
1.0field-weighted citation impact, top 23% 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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 12 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Obesity-focused prehabilitation strategies in ventral hernia: Cohort study.Hernia : the journal of hernias and abdominal wall surgery · 2025
    Article
  4. Article
  5. Article
  6. The effect of clinically significant weight loss prior to open ventral hernia repair.Hernia : the journal of hernias and abdominal wall surgery · 2024
    Article
  7. Ventral hernia repair in India: a Delphi consensus.Hernia : the journal of hernias and abdominal wall surgery · 2024
    Review
  8. Article
  9. 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

2 authors at 1 institution in 1 country.

S J BaigBelle Vue Clinic, 9 and 10, Loudon street, Kolkata, India.ORCID https://orcid.org/0000-0002-5966-1722
P PriyaBelle Vue Clinic, 9 and 10, Loudon street, Kolkata, India. drpallawipriya@gmail.com.ORCID https://orcid.org/0000-0001-7285-306X
Defence Research and Development Organisation · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionManagement of ventral hernia in obese is a complex problem. The methods of weight loss, alternatives if the patient cannot undergo bariatric surgery, timing, and type of hernia surgery lacks clarity and are dependent on resources and expertise. There is a need for algorithms based on local population and expertise. In this paper, we present the outcomes of our institutional algorithm.

methodsIt was a retrospective analysis of prospectively collected data. Patients with body mass index (BMI) > 30Kg/m

resultsA total of 50 patients underwent treatment as per the algorithm. Mean BMI was 36.6 ± 7.3 kg/m

conclusionThe algorithm has shown encouraging results in the short-to-medium term. Long-term evaluation with a higher number of patients is needed to confirm its usefulness.

Indexed as

Hernia, VentralLaparoscopyAlgorithmsBody Mass IndexHerniorrhaphyHumansRecurrenceRetrospective StudiesSurgical MeshTreatment OutcomeAlgorithmHernia surgeryObesityVentral hernia

Identifiers

PMID33044608
OpenAlexW3092560745

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.