Evidence map›Paper›PMID 40153084›Full record

SynthesisHernia : the journal of hernias and abdominal wall surgery2025

Conflict resolution of the beams: CT vs. MRI in recurrent hernia detection: a systematic review and meta-analysis of mesh visualization and other outcomes.

Ahmed Abdelsamad, Ibrahim Khalil, Mohammed Khaled Mohammed, Aya Sayed Ahmed Said Serour, Zeyad M Wesh, Omar Zaree, Mohamed Abdelmohsen Bedewi, Zainab Hussein, Torsten Herzog, Khaled Ashraf Mohamed and 1 more

Abstract readSystematic ReviewMeta-AnalysisComparative Study
PubMed Full text at PMC Publisher
In one paragraph

Synthesis in Hernia : the journal of hernias and abdominal wall surgery, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 3 pooled it
–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

6 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Article
  5. Article
  6. Observational
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

11 authors.

Ahmed AbdelsamadDepartment of Surgery II, University of Witten/Herdecke, 58455, Witten, Germany. Ahmed6361410@gmail.com.ORCID 0000-0002-5451-4504
Ibrahim KhalilFaculty of Medicine, Alexandria University, 21526, Alexandria, Egypt.
Mohammed Khaled MohammedFaculty of Medicine, Cairo University, 11956, Cairo, Egypt.
Aya Sayed Ahmed Said SerourFaculty of Medicine, Cairo University, 11956, Cairo, Egypt.
Zeyad M WeshFaculty of Medicine, Alexandria University, 21526, Alexandria, Egypt.
Omar ZareeTu Lab for Diagnostic Research, Yale School of Medicine, 06510, New Haven, Connecticut, USA.
Mohamed Abdelmohsen BedewiDepartment of Internal Medicine, College of Medicine, Prince Sattam Bin Abdulaziz University, 16273, Al-Kharj, Kingdom of Saudi Arabia.
Zainab HusseinFaculty of Medicine, Minia University, 61519, Minia, Egypt.
Torsten HerzogOncological Surgery Unit, Vest-Hospital, 45657, Recklinghausen, Germany.
Khaled Ashraf Mohamed *Department of General Surgery, Cairo University, 12613, Giza, Egypt.
Florian Gebauer *Oncological Surgery Department, Section Head of Robotic Surgery, Knappschaft Vest-Hospital, 45657, Recklinghausen, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRecurrent abdominal hernias remain a significant clinical challenge, with relatively high recurrence rates despite prosthetic mesh repair. Accurate imaging modalities are essential to assess mesh positioning and detect complications. Our study aims to compare computed tomography (CT) and magnetic resonance imaging (MRI) for mesh visualization, recurrence detection, and related postoperative outcomes in recurrent hernia patients.

methodsA systematic review and meta-analysis were conducted, including CT scan or MRI studies, to assess mesh visualization in recurrent hernia cases. A comprehensive search of PubMed, Scopus, Embase, and Web of Science was performed up to July 2024. Data were extracted for mesh visualization, recurrence rates, seroma detection, and reoperation rates. Statistical analysis employed a random-effects model with subgroup analysis for CT and MRI modalities.

resultsA total of 26 studies were included (18 for CT, and 8 for MRI). Recurrence rates were 20% (95% CI: 0-42%) for CT-based studies and 15% (95% CI: 4-26%) for MRI-based studies (p = 0.72). MRI exhibited superior mesh visualization (73%; 95% CI: 42-100%) compared to CT-(48%; 95% CI: 0-100%) (p = 0.44) studies. Seroma detection rates were similar: 12% (95% CI: 4-19%) for CT- and 10% (95% CI: 4-15%) for MRI- (p = 0.65) studies. Reoperation rates were 6% (95% CI: 1-11%) for CT- and 34% (95% CI: 3-66%) for MRI-based studies, showing a non-significant trend (p = 0.08).

conclusionCT and MRI offer distinct advantages in detecting mesh-related complications after hernia surgery. CT remains preferred for identifying recurrence and acute complications, while MRI excels in mesh visualization and soft-tissue assessment. Tailored imaging strategies based on clinical scenarios can optimize outcomes and improve postoperative care.

Indexed as

Hernia, AbdominalHerniorrhaphyMagnetic Resonance ImagingSurgical MeshTomography, X-Ray ComputedHumansPostoperative ComplicationsRecurrenceReoperationSeromaComplicationsCT scanMesh-related outcomesMesh visualizationMeta-analysisMRIRecurrent abdominal hernia

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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.