Evidence map›Paper›PMID 39883396›Full record

ArticleObesity surgery2025

Identifying At-Risk Populations for Reoperations, Readmissions, and Interventions in MBSAQIP Using a Novel Inpatient Postoperative Care Metric.

Michael Kachmar, Jake E Doiron, Florina Corpodean, Denise M Danos, Michael W Cook, Philip R Schauer, Vance L Albaugh

Abstract read
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In one paragraph

Article in Obesity surgery, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

7 authors.

Michael KachmarLouisiana State University Health Sciences Center, New Orleans, LA, USA. michael.kachmar@pbrc.edu.
Jake E DoironLouisiana State University Health Sciences Center, New Orleans, LA, USA.
Florina CorpodeanLouisiana State University Health Sciences Center, New Orleans, LA, USA.
Denise M DanosLouisiana State University Health Sciences Center, New Orleans, LA, USA.
Michael W CookLouisiana State University Health Sciences Center, New Orleans, LA, USA.
Philip R SchauerLouisiana State University Health Sciences Center, New Orleans, LA, USA.
Vance L AlbaughLouisiana State University Health Sciences Center, New Orleans, LA, USA. vance.albaugh@pbrc.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionMetabolic and bariatric surgery (MBS) is increasingly used for obesity and metabolic disease, with safety profiles showing it is among the safest major operations. The last 20 + years have noted significantly improved safety that has been accompanied by decreasing length of stay and select populations electing for outpatient surgery, leading to continued decreases in cost. Regardless, readmissions and complications still occur, requiring inpatient postoperative care (IP-POC). The current study aimed to identify and characterize at-risk populations for MBS-related IP-POC. STUDY

designThe 2015-2021 MBSAQIP (n = 1,346,468 records) was used to extract 973,520 primary cases of laparoscopic sleeve gastrectomy, Roux-en-Y gastric bypass, duodenal switch, and associated IP-POC. Conversions, pediatric cases, and < 30-day follow-up were excluded. IP-POC severity scores were calculated by summing readmissions (1 point), interventions (5 points), and reoperations (15 points). Risk factors associated with IP-POC were identified using zero-inflated Poisson models.

resultsGERD, COPD, smoking, and type of MBS procedure were significantly associated with increased IP-POC incidence and severity. Male sex was associated with increased severity but a lower likelihood of IP-POC, while Black and Hispanic race predicted increased IP-POC likelihood but not severity. ROC curve analysis identified IP-POC score thresholds of ≥ 6 and ≥ 10 as significantly associated with MACE (OR 2.4) and 30-day mortality (OR 4.7).

conclusionThe weighted IP-POC model demonstrated associations between preoperative characteristics and increased IP-POC likelihood and severity. These findings add to the current understanding of MBS patient care dynamics, and can be used to improve patient counseling, refine postoperative protocols, and optimize resource allocation.

Indexed as

Bariatric SurgeryObesity, MorbidPatient ReadmissionPostoperative CarePostoperative ComplicationsReoperationAdultFemaleHumansMaleMiddle AgedRetrospective StudiesRisk FactorsCOPDGERDInpatient postoperative careIP-POCMBSAQIPMetabolic and bariatric surgeryPostoperative careReadmissionsReoperationsRisk factorsSeverity score

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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.