Evidence map›Paper›PMID 40298970›Full record

ReviewInnere Medizin (Heidelberg, Germany)2025

[Pancreatitis from drugs-Drugs for treatment of pancreatitis].

Max Ole Hubert, Julia Mayerle, Simon Sirtl

Abstract readEnglish AbstractReview
PubMed Publisher
In one paragraph

Review in Innere Medizin (Heidelberg, Germany), 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

3 authors.

Max Ole HubertMedizinische Klinik und Poliklinik II, LMU Klinikum München, Marchioninistr. 15, 81377, München, Deutschland.
Julia MayerleMedizinische Klinik und Poliklinik II, LMU Klinikum München, Marchioninistr. 15, 81377, München, Deutschland. julia.mayerle@med.uni-muenchen.de.
Simon SirtlMedizinische Klinik und Poliklinik II, LMU Klinikum München, Marchioninistr. 15, 81377, München, Deutschland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDrugs are a rare but important cause of acute pancreatitis (AP) due to potential therapeutic consequences, accounting for up to 5% of all cases of AP. The diagnosis of drug-induced AP is challenging due to mostly weak evidence and complex diagnostic criteria.

objectiveThis review article defines drug-induced AP, summarizes the evidence for drugs associated with AP and highlights the challenges in the diagnosis of this condition. The second part of the article focuses on the main pillars of AP treatment. CURRENT DATA: The association of most drugs associated with AP is based on case reports and case series but there are no high-quality studies. There is sufficient evidence of a causal relationship for only 40 of more than 500 drugs associated with AP and for almost none of the drugs the causal mechanism has been definitively clarified. Several classification systems and criteria have been proposed to assess whether a drug causally triggers AP, with criteria including the temporal association, the exclusion of other causes and recurrence of AP after re-exposure.

conclusionThe diagnosis of drug-induced AP remains a challenge, with many common drugs being incorrectly associated with AP. There is an urgent need for the development of biomarkers to facilitate the diagnosis of drug-induced AP. Drug treatment for AP is still primarily a needs-based fluid management and efficient analgesia. New and causal therapeutic approaches need clinical validation.

Indexed as

PancreatitisHumansAdverse drug eventBiomarkerDrug toxicitySide effectSymptomatic therapy

Identifiers

What OpenQuestion holds

Textmetadata
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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.