Evidence map›Paper›PMID 39625721›Full record

ArticleJAMA network open2024

Learning Curves for Robotic-Assisted Ventral Hernia Repair.

Wei San Loh, Ryan A Howard, Brian T Fry, Jyothi R Thumma, Edward C Norton, Justin B Dimick, Kyle H Sheetz

Abstract read
In one paragraph

Article in JAMA network open, 2024. 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
–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

5 citing papers in PubMed.

  1. Article
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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

7 authors.

Wei San LohCenter for Healthcare Outcomes and Policy, University of Michigan, Ann Arbor.
Ryan A HowardCenter for Healthcare Outcomes and Policy, University of Michigan, Ann Arbor.
Brian T FryCenter for Healthcare Outcomes and Policy, University of Michigan, Ann Arbor.
Jyothi R ThummaCenter for Healthcare Outcomes and Policy, University of Michigan, Ann Arbor.
Edward C NortonCenter for Healthcare Outcomes and Policy, University of Michigan, Ann Arbor.
Justin B DimickCenter for Healthcare Outcomes and Policy, University of Michigan, Ann Arbor.
Kyle H SheetzCenter for Healthcare Outcomes and Policy, University of Michigan, Ann Arbor.

Funding

Rapid Adoption of Robotic Surgery: Risks, Benefits, and Unintended ConsequencesR01DK131584 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Kyle Hershey Sheetz · 2022 to 2026
$2.6M
NIDDK NIH HHS R01 DK131584
6 · The paper itself

Abstract

Importance: Although the use of robotic-assisted ventral hernia repairs has increased significantly over the last decade, the experience surgeons need to achieve comparable outcomes with more established laparoscopic and open approaches has not been well characterized. Objective: To estimate the learning curves for robotic-assisted ventral (incisional and umbilical) hernia repair. Design, Setting, and Participants: This retrospective cohort study included Medicare fee-for-service patients (≥18 years) enrolled in Medicare Part A and Part B with no managed care undergoing ventral hernia repairs between 2010 and 2020. Multivariate logistic regression was used to estimate reoperation rates for hernia recurrence, adjusting for patient demographics, comorbidities, mesh placement, and hospital characteristics. Analyses were conducted from October 2023 to July 2024. Exposure: Incremental robotic-assisted hernia repair volume. Main Outcome and Measure: Reoperation for hernia recurrence within 7 years of index hernia repair. Results: This study comprised 160 379 Medicare patients (mean [SD] age, 69 [11] years), of whom 93 272 (58.2%) were female, 13 799 (8.6%) were Black, 3124 (2.0%) were Hispanic, and 138 311 (86.2%) were White. Among these patients, 12 609 (7.9%) underwent robotic-assisted hernia repairs, 32 337 (20.2%) laparoscopic repairs, and 115 433 (71.9%) open repairs. This study also included 23 580 surgeons, with 5074 performing robotic-assisted hernia repairs. The national reoperation rates for hernia recurrence after laparoscopic and open repairs were 12.5% (95% CI, 12.06%-12.94%) and 12.9% (95% CI, 12.70%-13.15%), respectively. Reoperation rates decreased as the number of robotic-assisted cases increased, from 14.2% (95% CI, 13.34%-14.97%) at 10 cases to 7.6% (95% CI, 6.75-8.37) at 50 cases. Surgeons needed at least 19 (95% CI, 16-22) robotic-assisted hernia repairs or 16 (95% CI, 13-19) repairs to achieve outcomes equivalent to those of laparoscopic and open procedures. Few surgeons (285 surgeons [5.7%]) performed enough robotic-assisted ventral hernia repairs to achieve necessary volume nationally to overcome the learning curve. Conclusions and Relevance: In this cohort study of 23 580 surgeons who performed ventral hernia repairs between 2010 and 2020, increasing experience with robotic-assisted hernia repairs was associated with improved long-term reoperation rates for hernia recurrence. However, the majority of surgeons did not perform enough cases to reach reoperation rates equivalent to more established laparoscopic and open approaches.

Indexed as

Hernia, VentralHerniorrhaphyLearning CurveRobotic Surgical ProceduresAgedAged, 80 and overFemaleHumansMaleMedicareMiddle AgedRecurrenceReoperationRetrospective StudiesUnited States

Identifiers

PMID39625721
PMCPMC11615711

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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.