Evidence map›Paper›PMID 40228260›Full record

ReviewMedicine2025

The evolution of percutaneous abdominal abscess drainage: A review.

Christopher Stevens, Dylan Scott, Prerana Ramesh, Amanda Ragland, Coplen Johnson, Joshua Strobel, Kevin Malone, Horacio D'Agostino, Chaitanya Ahuja, Luis De Alba

Abstract readReview
In one paragraph

Review in Medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

10 authors.

Christopher StevensSchool of Medicine, LSU Health Shreveport, Shreveport, LA.ORCID 0000-0001-7200-8042
Dylan ScottSchool of Medicine, LSU Health Shreveport, Shreveport, LA.
Prerana RameshSchool of Medicine, LSU Health Shreveport, Shreveport, LA.ORCID 0009-0000-5117-0462
Amanda RaglandSchool of Medicine, LSU Health Shreveport, Shreveport, LA.
Coplen JohnsonSchool of Medicine, LSU Health Shreveport, Shreveport, LA.
Joshua StrobelDepartment of Radiology, LSU Health Shreveport, Shreveport, LA.
Kevin MaloneDepartment of Emergency Medicine, Baylor Scott and White Medical Center, Temple, TX.
Horacio D'AgostinoDepartment of Radiology, LSU Health Shreveport, Shreveport, LA.
Chaitanya AhujaDepartment of Radiology, LSU Health Shreveport, Shreveport, LA.
Luis De AlbaDepartment of Radiology, LSU Health Shreveport, Shreveport, LA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Abdominal abscesses are commonly treated using percutaneous abscesses drainage (PAD). Despite PAD becoming commonplace in clinical practice, there are still unanswered questions and absent formal guidelines regarding its use. This narrative review discusses the evolution and different features of PAD, including the imaging modalities used in the process, catheter anatomy and sizes, placement techniques, the quantity of catheter side holes, and factors that determine the length of catheter stay and the usage of antibiotics for treating abdominal abscesses. Based on a retrospective review of the existing literature, this work is presented with an intent of identifying the most efficient design aspects and indications to optimize clinical success when performing PAD. This manuscript shows that there are still many unanswered questions and room for improvement regarding percutaneous drainage of abscesses.

Indexed as

Abdominal AbscessDrainageAnti-Bacterial AgentsHumansAnti-Bacterial Agentscomputed tomographyhistorypercutaneous abscess drainageultrasound

Identifiers

PMID40228260
PMCPMC11999431

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.