Evidence map›Paper›PMID 42096069›Full record

ArticleHernia : the journal of hernias and abdominal wall surgery2026

Preoperative CT-based quantitative assessment of hernial SAC predicts early recurrence following primary hiatal hernia repair.

Takahiro Ochiai, Masanobu Nakajima, Masatoshi Nakagawa, Junki Fujita, Shuhei Takise, Yu Ueta, Masaki Yoshimatsu, Noboru Inoue, Hiroto Muroi, Shinji Morita and 1 more

Abstract read
In one paragraph

Article in Hernia : the journal of hernias and abdominal wall surgery, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Takahiro OchiaiDepartment of Upper Gastrointestinal Surgery, Dokkyo Medical University, 880 Kitakobayashi, Mibu, Shimotsugagun, Tochigi, 321-0293, Japan. t-ochiai213@dokkyomed.ac.jp.ORCID http://orcid.org/0009-0002-0881-0254
Masanobu NakajimaDepartment of Upper Gastrointestinal Surgery, Dokkyo Medical University, 880 Kitakobayashi, Mibu, Shimotsugagun, Tochigi, 321-0293, Japan.
Masatoshi NakagawaDepartment of Upper Gastrointestinal Surgery, Dokkyo Medical University, 880 Kitakobayashi, Mibu, Shimotsugagun, Tochigi, 321-0293, Japan.
Junki FujitaDepartment of Upper Gastrointestinal Surgery, Dokkyo Medical University, 880 Kitakobayashi, Mibu, Shimotsugagun, Tochigi, 321-0293, Japan.
Shuhei TakiseDepartment of Upper Gastrointestinal Surgery, Dokkyo Medical University, 880 Kitakobayashi, Mibu, Shimotsugagun, Tochigi, 321-0293, Japan.
Yu UetaDepartment of Upper Gastrointestinal Surgery, Dokkyo Medical University, 880 Kitakobayashi, Mibu, Shimotsugagun, Tochigi, 321-0293, Japan.
Masaki YoshimatsuDepartment of Upper Gastrointestinal Surgery, Dokkyo Medical University, 880 Kitakobayashi, Mibu, Shimotsugagun, Tochigi, 321-0293, Japan.
Noboru InoueDepartment of Surgery, Dokkyo Medical University Nikko Medical Center, 145-1 Moritomo, Nikko, Tochigi, 321-1298, Japan.
Hiroto MuroiDepartment of Surgery, Dokkyo Medical University Nikko Medical Center, 145-1 Moritomo, Nikko, Tochigi, 321-1298, Japan.
Shinji MoritaDepartment of Upper Gastrointestinal Surgery, Dokkyo Medical University, 880 Kitakobayashi, Mibu, Shimotsugagun, Tochigi, 321-0293, Japan.
Kazuyuki KojimaDepartment of Upper Gastrointestinal Surgery, Dokkyo Medical University, 880 Kitakobayashi, Mibu, Shimotsugagun, Tochigi, 321-0293, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRecurrence of hiatal hernia after primary repair is a major concern, particularly early recurrence related to technical factors. Reliable preoperative predictors are essential for optimal surgical strategies. Because the hernial sac area can also affect operative complexity, this study aimed to evaluate early recurrence-associated factors and their relationship with operative time using quantitative computed tomography (CT).

methodsWe retrospectively analyzed 48 patients who underwent laparoscopic hiatal hernia repair between July 2012 and July 2025. Preoperative CT was used to measure the maximum diameter and area of the hernial sac in the axial and coronal planes. We examined the association between these parameters and surgical outcomes including recurrence.

resultsEarly recurrence was observed in four patients (8.3%), all of whom required reoperation within 3 days. Patients with early recurrence had longer operative times and larger axial hernial sac areas (p < 0.05). Receiver operating characteristic (ROC) curve analysis demonstrated that the axial maximum diameter provided the highest predictive performance for early recurrence (area under the curve [AUC] = 0.89), with an optimal cutoff value of 117.6 mm. Other parameters, including axial area, coronal area, coronal diameter, and hiatal width, showed moderate predictive ability but none exceeded axial diameter accuracy.

conclusionAxial hernial sac measurements are associated with early recurrence. Preoperative CT-based quantitative assessments may provide valuable information for predicting surgical complexity and recurrence, thereby supporting preoperative risk stratification and surgical planning. Therefore, prospective validation using a larger cohort is warranted.

Indexed as

Hernia, HiatalHerniorrhaphyTomography, X-Ray ComputedAdultAgedFemaleHumansLaparoscopyMaleMiddle AgedOperative TimePredictive Value of TestsPreoperative CareRecurrenceRetrospective StudiesROC CurveGastropexyHernial sac areaHiatal herniaHiatal hernia repairRecurrence

Identifiers

PMID42096069
PMCPMC13152944

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.