SynthesisBMJ open2019
Methods for the early detection of drug-induced pancreatitis: a systematic review of the literature.
Synthesis in BMJ open, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
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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.
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.
Who cites it
5 citing papers in PubMed, 7 citations in OpenAlex.
- Acute Pancreatitis Associated with Tacrolimus in A Lung Transplant Recipient: A Case Report and Review of Literature.European journal of case reports in internal medicine · 2025Article
- Valproate sodium-associated acute pancreatitis: a case report and systematic analysis of antiepileptic drug adverse events in FAERS.American journal of translational research · 2025Article
- A Case of Mirtazapine-Induced Pancreatitis.Cureus · 2023Article
- Acute Pancreatitis: Diagnosis and Treatment.Drugs · 2022Review
- Ever-increasing diversity of drug-induced pancreatitis.World journal of gastroenterology · 2020Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 2 institutions in 1 country.
Funding
Abstract
objectivesWe systematically reviewed the literature to identify evidence-informed recommendations regarding the detection of drug-induced pancreatitis (DIP) and, secondarily, to describe clinical processes for the diagnosis of DIP.
designSystematic review. DATA SOURCES: Ovid MEDLINE, including Epub Ahead of Print, In-Process & Other Non-Indexed Citations, Embase Classic+Embase, the Cochrane Library. ELIGIBILITY CRITERIA: We included clinical practice guidelines, systematic reviews, narrative reviews and observational studies with a focus of establishing incidence, prevalence or diagnostic approaches for DIP. Clinical trials that diagnosed DIP as an outcome were also included. DATA EXTRACTION AND SYNTHESIS: Two reviewers screened citations and performed data extraction. A narrative synthesis of the evidence was prepared.
resultsFifty-nine studies were included. Early published evidence suggested serial pancreatic ultrasound could detect subclinical pancreatitis; however, subsequent studies demonstrated no utility of serial ultrasound or serial monitoring of pancreatic enzymes in the early detection of DIP. Two small studies conducted in patients with a high baseline risk of acute pancreatitis concluded serial monitoring of pancreatic enzymes may be useful to guide early discontinuation of medications with known associations with pancreatitis. Early discontinuation of medication was not advised for lower-risk patients because some medications cause transient elevations of pancreatic enzymes that do not progress to acute pancreatitis. Eight of 52 studies (15%) reporting a clinical diagnostic process for DIP reported using currently accepted criteria for the diagnosis of acute pancreatitis. A variety of methods were used to assess drug-related causality.
conclusionsThere is minimal evidence to support the use of serial monitoring by ultrasound or pancreatic enzymes to detect cases of DIP. Serial monitoring may be useful to guide early discontinuation of DIP-associated drugs in high-risk patients, but not in lower-risk patients. Greater uptake of standardised diagnostic and causality criteria for DIP is needed. TRIAL REGISTRATION NUMBER: CRD42017060473.
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Registered trials
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.