ArticleObesity surgery2022
Routine Versus Selective Liver Biopsy During Bariatric Surgery: Postoperative Outcomes and Preoperative Predictors of NASH.
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 4 papers.
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.
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.
Who cites it
4 citing papers in PubMed, 2 citations in OpenAlex.
- An international multidisciplinary consensus statement on laparoscopic liver biopsy.Cell reports. Medicine · 2026Article
- Concomitant Liver Biopsy During Bariatric Surgery: No Increase in Major Complications or Readmissions but Associated with Higher Transfusion Requirements - An Analysis of the MBSAQIP Database.Obesity surgery · 2025Article
- Prevalence and risk factors of liver fibrosis in patients with metabolic-associated fatty liver disease undergoing bariatric surgery.Clinical and experimental hepatology · 2024Article
- Significant fibrosis assessed by liver biopsy among Chinese bariatric surgery patients: A prospective cross-sectional study.Frontiers in endocrinology · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundNonalcoholic steatohepatitis (NASH) is common in patients with obesity. Liver biopsy (LB) can be routinely or selectively performed during bariatric surgery to identify patients with NASH.
methodsPatients undergoing bariatric surgery between 2016 and 2020 at our institution were identified. Chart review identified patients undergoing concurrent LB. LB results were compared between patients undergoing routine LB and selective LB. Patient demographics and postoperative outcomes were compared between those who received LB and those who did not (non-LB). In the LB cohort, preoperative characteristics of patients with NASH were compared to those without NASH, and multivariable regression was used to identify predictors of NASH.
resultsTwo thousand three hundred ninety-three patients were identified, of which 400 (16.7%) had liver biopsies (LB) and 1,993 (83.3%) did not (non-LB). Three hundred thirty LB were performed routinely, and 70 were selective. Compared to selective LB, routine LB identified significantly higher rates of steatosis (83.6% vs. 4.5%, p < 0.01), periportal inflammation (67.0% vs. 3.2%, p < 0.01), fibrosis (65.8% vs. 2.1%, p < 0.01), and NASH (10.9% vs. 1.5%, p < 0.01). There were no differences in postoperative complications, blood transfusions, readmissions, or reoperations between LB and non-LB. On multivariable regression, highest BMI > 40 (OR 2.85, 95% CI 1.43-5.67) and insulin-dependent diabetes (OR 4.83, 95% CI 1.70-13.69) were associated with a higher odds of NASH, while Black race was associated with lower odds (OR 0.25, 95% CI 0.09-0.65).
conclusionsRoutine liver biopsies during bariatric surgery identify higher rates of advanced NAFLD compared to selective biopsies, and can be safely performed without an increased risk of postoperative complications.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.