Evidence map›Paper›PMID 40018430›Full record

ArticleClinical case reports2025

Managing Acute Esophageal Necrosis Secondary to Diabetic Ketoacidosis in a Rural Centre: A Case Report and Proposed Algorithm for Management.

Annie Jiao Wang, Khang Duy Ricky Le, Shasha Haycock, Brendan Desmond, Matthew Shears

Abstract read
In one paragraph

Article in Clinical case reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
–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 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. 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.

Annie Jiao WangDepartment of General Surgery Northeast Health Wangaratta Wangaratta Victoria Australia.ORCID https://orcid.org/0000-0001-6153-6755
Khang Duy Ricky LeDepartment of General Surgery Northeast Health Wangaratta Wangaratta Victoria Australia.ORCID https://orcid.org/0000-0003-4532-8248
Shasha HaycockDepartment of General Surgery Northeast Health Wangaratta Wangaratta Victoria Australia.ORCID https://orcid.org/0000-0001-8505-4371
Brendan DesmondDepartment of Hepatobiliary and Upper Gastrointestinal Surgery Peter MacCallum Cancer Centre Melbourne Victoria Australia.
Matthew ShearsDepartment of General Surgery Northeast Health Wangaratta Wangaratta Victoria Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Acute esophageal necrosis (AEN) is a rare phenomenon, usually presenting with hematemesis or melena in patients who are already unwell with concurrent pathology. We present a case of AEN in an acutely unwell 82-year-old man who presented in diabetic ketoacidosis (DKA). He was successfully managed in our rural centre with remote guidance from a tertiary centre. We propose an evidence-informed management algorithm to guide and assist clinicians caring for patients with AEN in resource-limited settings. Initial management of AEN should prioritize resuscitation and correction of any underlying pathology, such as DKA. Early endoscopic assessment is required for the diagnosis of AEN and quantification of the extent of necrosis. Early repeat endoscopy (48-72 h) is recommended to assess healing and is useful in guiding ongoing management. In resource-limited settings, early referral and transfer for patients with AEN is recommended in the absence of intensive care support, endoscopy, or limited blood products.

Indexed as

acute esophageal necrosisdiabetic ketoacidosisendoscopic surgeryGurvits syndromenecrotising esophagitisrural surgery

Identifiers

PMID40018430
PMCPMC11865323

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.