Evidence map›Paper›PMID 39129186›Full record

ArticleThe Journal of international medical research2024

Minimally invasive removal of a foreign body in the pancreas using digital intelligent technology: a case report.

Shuanghua Li, Chunyong Liu, Sai Wen, Yanyun Geng

RetractedAbstract readCase ReportsRetracted Publication
In one paragraph

Article in The Journal of international medical research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. 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

5 · Who and what money

Authors and funding

4 authors.

Shuanghua LiDepartment of Hepatobiliary Surgery, Zhujiang Hospital, Southern Medical University, Guangzhou, China.
Chunyong LiuInstitute of Transfusion Medicine, Zhongshan Blood Center, Zhongshan, China.
Sai WenDepartment of Hepatobiliary Surgery, Zhujiang Hospital, Southern Medical University, Guangzhou, China.
Yanyun GengDepartment of Hepatobiliary Surgery, Zhujiang Hospital, Southern Medical University, Guangzhou, China.ORCID 0009-0000-1737-7320

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pancreatitis caused by a fish bone penetrating the posterior wall of the stomach and entering the pancreas is rare. We herein report a case involving a woman in her late 30s with an approximately 1-month history of recurrent upper abdominal pain. Initial evaluation at another hospital failed to identify the cause but raised suspicion of pancreatic cancer. Computed tomography, magnetic resonance imaging, and a detailed consultation led us to suspect that the patient's pain had been caused by inadvertent ingestion of a fish bone. We used three-dimensional visualization technology to determine the location of the fish bone and informed the patient of the lesion and surgical plan through a simulated surgical demonstration. During surgery, we applied augmented reality navigation technology to remove the fish bone by a minimally invasive approach. The patient was discharged on postoperative day 3. She was followed up by telephone 24 hours after discharge. Outpatient follow-up was performed 1 week after discharge and on day 30. The patient recovered well and developed no complications. This case shows that digital medical technology can be applied in patients undergoing surgical removal of a pancreatic foreign body. Such technology assists with preoperative evaluation, patient education, and intraoperative trauma reduction.

Indexed as

Foreign BodiesMinimally Invasive Surgical ProceduresPancreasAdultFemaleHumansImaging, Three-DimensionalMagnetic Resonance ImagingTomography, X-Ray Computedcase reportdigital medicinefish boneforeign bodyintelligenceminimally invasive surgeryPancreas

Identifiers

PMID39129186
PMCPMC11318051

What OpenQuestion holds

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Registered trials

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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.