Evidence map›Paper›PMID 41994430›Full record

ArticleFrontiers in medicine2026

Duodenal perforation following right nephrectomy in a paraplegic patient with pyonephrosis: a case report and clinical insights.

Jun Li, Xiong Wang, Xiaoshuang Tang

Abstract readCase Reports
In one paragraph

Article in Frontiers in medicine, 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

3 authors.

Jun LiAnkang Central Hospital, Ankang, Shaanxi, China.
Xiong WangThe Ankang Hospital for Maternity and Child Health, Ankang, Shaanxi, China.
Xiaoshuang TangDepartment of Urology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Duodenal perforation is a life-threatening acute complication with high morbidity and mortality, particularly among patients with multiple comorbidities. We present the case of a 46-year-old Asian male with a history of paraplegia and type 2 diabetes mellitus who developed duodenal perforation following right nephrectomy for non-functional kidney complicated by perirenal abscess and lumbar sinus tract infection. The patient sustained a thoracolumbar fracture and spinal cord injury due to blunt trauma 6 years prior, resulting in permanent lower limb paraplegia. Preoperative imaging confirmed right renal non-function, and sequential interventions including perirenal abscess aspiration, ureteral stenting, and nephrectomy were performed. Duodenal perforation (4 mm in diameter) was identified via gastroscopy on postoperative day 6, initially managed with endoscopic clipping, and subsequent radical surgery (subtotal gastrectomy + Roux-en-Y gastrojejunostomy + cholecystolithotomy + cholecystostomy) was required due to persistent leakage. Multidisciplinary team (MDT) collaboration, targeted antibiotic therapy based on pharmacokinetic/pharmacodynamic (PK/PD) principles, and staged nutritional support were implemented. The patient achieved clinical cure after 3 months of comprehensive management. This case highlights the importance of early diagnosis using computed tomography (CT) and endoscopy, individualized surgical strategies, and MDT collaboration in managing postoperative duodenal perforation in high-risk patients with paraplegia and diabetes.

Indexed as

duodenal perforationmultidisciplinary team collaborationparaplegiaright nephrectomytype 2 diabetes mellitus

Identifiers

PMID41994430
PMCPMC13079055

What OpenQuestion holds

Textmetadata
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.