Evidence map›Paper›PMID 41836852›Full record

ArticleProceedings (Baylor University. Medical Center)

Cross-sectional study exploring the characteristics of hospitalized patients admitted for acute pancreatitis who develop abdominal compartment syndrome in US hospitals.

Falah Abu-Hassan, Jean Dai, Yacoub Majdoubeh, Waqas Rasheed, Andy Earthman

Abstract read
In one paragraph

Article in Proceedings (Baylor University. Medical Center). The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
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. Beware the gorilla that may come with severe pancreatitis.Proceedings (Baylor University. Medical Center)
    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

5 authors.

Falah Abu-HassanPulmonary and Critical Care Department, The University of Arizona College of Medicine - Phoenix, Phoenix, Arizona, USA.ORCID https://orcid.org/0000-0002-2197-9444
Jean DaiGeneral Surgery, Case Western Reserve University Cleveland Health Sciences Library, Cleveland, Ohio, USA.
Yacoub MajdoubehGeneral Surgery, Altnagelvin Hospital, Londonderry, UK.
Waqas RasheedInternal Medicine Department, Texas Tech University Health Sciences Center School of Medicine, Amarillo, Texas, USA.
Andy EarthmanTexas A&M University, College Station, Texas, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Factors affecting outcomes in patients with abdominal compartment syndrome (ACS) associated with acute pancreatitis (AP) have not been well studied. Methods: All patients admitted with a diagnosis of AP or ACS between 2016 and 2022 were selected by using the relevant International Classification of Disease (ICD)-10 codes from the National Inpatient Sample. Multivariate binary logistic regression was used to assess the odds of mortality in the setting of ACS secondary to AP. Results: A total of 708 patients with AP and ACS were identified. Age and additional ICD-10 diagnoses, including sepsis, acute renal failure, malnutrition, intestinal obstruction, and ileus, were found to have statistically significant odds ratios. Older patients and those with sepsis and acute renal failure had greater odds of experiencing inpatient mortality. Conversely, those with malnutrition, ileus, and intestinal obstruction were found to have lower odds of inpatient mortality. Conclusions: Our results suggest a higher mortality in patients with older age, sepsis, and acute renal failure in the setting of ACS. It also seems that readily treated factors such as malnutrition, intestinal obstruction, and ileus are associated with lower odds of mortality.

Indexed as

Abdominal compartment syndromeacute pancreatitisintra-abdominal hypertension

Identifiers

PMID41836852
PMCPMC12981596

What OpenQuestion holds

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Registered trials

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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.