Evidence map›Paper›PMID 40443860›Full record

ArticleOxford medical case reports2025

Hemolytic uremic syndrome in severe acute pancreatitis.

Jayaraj Hasvi, Inder Preet Singh Bhatia, Saurabh Dawra, Amulyajit Singh, Siddharth Tripathi

Abstract readCase Reports
In one paragraph

Article in Oxford medical case reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

5 authors.

Jayaraj HasviDepartment of Internal Medicine, Military Hospital, Bareilly 243001, Bareilly district, India.ORCID https://orcid.org/0000-0002-0998-0776
Inder Preet Singh BhatiaDepartment of Internal Medicine, 167 Military Hospital, Pathankot 145001, Pathankot district, India.ORCID https://orcid.org/0009-0009-0748-331X
Saurabh DawraDepartment of Gastroenterology, Command Hospital Udhampur  182101, Udhampur district, India.ORCID https://orcid.org/0000-0002-7679-9491
Amulyajit SinghDepartment of Radiodiagnosis, PGI, Jalandhar 144003, Jalandhar district, India.ORCID https://orcid.org/0009-0001-8008-2047
Siddharth TripathiDepartment of Internal Medicine, 167 Military Hospital, Pathankot 145001, Pathankot district, India.ORCID https://orcid.org/0009-0002-4031-9246

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionHemolytic Uremic Syndrome is characterized by Coombs negative microangiopathic hemolytic anemia, severe thrombocytopenia, and acute kidney injury. CASE REPORT: Here, we report a 36-year-old male, a case of alcohol related acute pancreatitis. On day 5, he developed fever and tachycardia. Evaluation revealed thrombocytopenia, hemolytic anemia, and acute kidney injury with low C3, normal C4 & ADAMTS13 activity and positive anti-complement factor H antibody. He was diagnosed as a case of Hemolytic Uremic Syndrome and managed with plasmapheresis, hemodialysis, and Intravenous immunoglobulin. He was administered Rituximab on day 15, considering the refractory nature of the disease. Despite the aggressive management, he succumbed to his illness.

conclusionThis case highlights atypical Hemolytic Uremic Syndrome as a rare complication of Acute Pancreatitis. Our patient, despite being diagnosed well in time and managed aggressively, had an unfavourable outcome. This condition should be diagnosed well in time, as it is associated with high mortality.

Indexed as

Hemolytic uremic syndromeintravenous immunoglobulinplasmapheresisrituximabsevere acute pancreatitis

Identifiers

PMID40443860
PMCPMC12118069

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.