Evidence map›Paper›PMID 40527847›Full record

ArticleMedicine2025

An unusually acute abdominal pain: A case report.

Ya-Chen Wang, Jian-Feng Zhang, Hong-Yuan Shen, Chengqi Guan

Abstract readCase Reports
In one paragraph

Article in Medicine, 2025. 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

4 authors.

Ya-Chen WangDepartment of Gastroenterology, Affiliated Hospital of Nantong University, Nantong, Jiangsu Province, China.ORCID 0009-0006-1252-9413
Jian-Feng Zhang
Hong-Yuan Shen
Chengqi Guan

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

rationaleAcute abdominal pain is a common clinical symptom. Its etiology is complex and intricate. This is a case of small intestinal obstruction caused by bezoar combined with diabetes ketoacidosis, which leads to abdominal pain. The obstruction was caused by bezoars, which is rare in clinical practice, and worth summarizing and learning. PATIENT CONCERNS: We reported a case of a 58-year-old female who was admitted to the hospital due to "upper abdominal pain for 3 days". DIAGNOSES: Fasting blood glucose was 21 mmol/L, urinary ketone body 3+, pondus hydrogenii (pH) 7.309, actual and standard bicarbonate decreased, and abdominal enhanced computed tomography showed a rounded low-density shadow with sharp edges and well-defined borders in the lumen of the bowel on the left side of the abdomen, with a size of 6 cm, and no significant enhancement within the lesion.

interventionsIncluding hypoglycemic treatment, correction of acid-base imbalance and electrolyte disorders, and removal of gastric stones through laparoscopy, etc. OUTCOMES: This abdominal pain was caused by a small intestinal obstruction caused by bezoar combined with diabetes ketoacidosis. The patient was discharged successfully and remained symptom-free during follow-up. LESSONS: There are many causes of acute abdominal pain. In clinical practice, we should comprehensively consider and diagnose the causes of abdominal pain based on the patient's current medical history, past medical history, physical examination, and auxiliary examinations. We must be alert to rare and multiple causes that can jointly cause abdominal pain, and promptly deal with different causes.

Indexed as

Abdomen, AcuteAbdominal PainBezoarsDiabetic KetoacidosisIntestinal ObstructionFemaleHumansMiddle AgedTomography, X-Ray Computedacute abdominal painbezoarcase reportdiabetes ketoacidosisintestinal obstruction

Identifiers

PMID40527847
PMCPMC12173252

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.