Evidence map›Paper›PMID 38904709›Full record

ReviewAbdominal radiology (New York)2025

Navigating the labyrinth of peritoneal and extraperitoneal anatomy: abdominal spread made easy with a case based review.

Praveen Polamraju, Michael Oliphant, Swetha Aribindi, Janardhana Ponnatapura

Abstract readReviewCase Reports
In one paragraph

Review in Abdominal radiology (New York), 2025. 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. Review
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

4 authors.

Praveen PolamrajuDepartment of Diagnostic Radiology, Wake Forest University School of Medicine, 1, Medical Center Blvd, Winston Salem, NC, 27157, USA.
Michael OliphantDepartment of Diagnostic Radiology, Wake Forest University School of Medicine, 1, Medical Center Blvd, Winston Salem, NC, 27157, USA.
Swetha AribindiDepartment of Diagnostic Radiology, Wake Forest University School of Medicine, 1, Medical Center Blvd, Winston Salem, NC, 27157, USA.
Janardhana PonnatapuraDepartment of Diagnostic Radiology, Wake Forest University School of Medicine, 1, Medical Center Blvd, Winston Salem, NC, 27157, USA. jponnata@wakehealth.edu.ORCID 0000-0002-7459-0854

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Essential to understanding disease spread in abdomen is to separate the peritoneum from the extraperitoneum. These areas have distinct anatomy with well-define separate pathways. The peritoneum is comprised of connected recesses that are potential spaces, normally not imaged except when containing excess fluid or air. Peritoneal recesses are formed by the opposing peritoneal surfaces and subdivided by the attachments of the ligaments and mesenteries to the parietal peritoneum. Disease flows within the recesses by changes in abdominal pressure. This forms a distinct spread pattern. The extraperitoneum is traditionally stratified by the renal fascia into the anterior and posterior pararenal spaces and the perirenal space. The fascia contains and directs spread from the contained organs with the compartments. Each space has a unique spread pattern defined by the containing fascia. The extraperitoneum is connected to the mesenteries and ligaments forming the subperitoneal space. This space interconnects the extraperitoneum with the mesenteries allowing for the normal continuum of blood vessels, lymphatics, and nerves but also forms the pathways for bidirectional spread of disease.

Indexed as

PeritoneumFasciaHumansTomography, X-Ray ComputedAnatomyLigamentsMesenteryPeritoneum

Identifiers

PMID38904709
PMCPMC11711261

What OpenQuestion holds

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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.