Evidence map›Paper›PMID 28450786›Full record

ArticleTherapeutics and clinical risk management2017

Hypertriglyceridemia, an important and independent risk factor for acute pancreatitis in patients with type 2 diabetes mellitus.

Oana Albai, Deiana Roman, Mirela Frandes

Open access · goldAbstract read
In one paragraph

Article in Therapeutics and clinical risk management, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
4.5field-weighted citation impact, top 5% of its field
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

12 citing papers in PubMed, 35 citations in OpenAlex.

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  12. Obesity and pancreatitis.Current opinion in gastroenterology · 2017
    Review
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 at 1 institution in 1 country.

Oana AlbaiSecond Department of Internal Medicine.
Deiana RomanDepartment of Functional Sciences, "Victor Babes" University of Medicine and Pharmacy, Timisoara, Romania.
Mirela FrandesDepartment of Functional Sciences, "Victor Babes" University of Medicine and Pharmacy, Timisoara, Romania.
Victor Babeș University of Medicine and Pharmacy Timișoara · RO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeAcute pancreatitis (AP) is a frequent inflammatory disease of the pancreas with multiple causes, among which high triglyceride (TG) level is the most common. The main purpose of this study has been to research the prevalence of AP in patients with diabetes mellitus (DM) and to underline the importance of hypertriglyceridemia (HTG) as a risk factor in triggering AP. The possible link between AP and glycemic control has been studied also, alongside some cardiovascular risk factors and long-term diabetes complications. PATIENTS AND

methodsThe patient cohort comprised 1,586 patients with DM, admitted to the Internal Medicine Clinic of Diabetes, Nutrition and Metabolic Disease within the Emergency Hospital in Timisoara between January and August 2016. Following a series of clinical and biological investigations, these patients were diagnosed with AP. The patients' antidiabetic treatment and chronic diabetes-related complications have also been recorded.

resultsThe prevalence of pancreatitis in this group of patients was 3.7%. The presence of pancreatitis was associated with a higher HbA1c (8.5% vs 7.7%;

conclusionThe development of AP events in patients with DM is associated with unsatisfactory glycemic control, HTG, hypertension, and the presence and severity of DM chronic complications. In this study, the prevalence of AP events in patients with DM was 3.7%.

Indexed as

acute pancreatitisdiabetes mellitushypertriglyceridemiainsulin resistance

Identifiers

PMID28450786
PMCPMC5399973
OpenAlexW2606623262

What OpenQuestion holds

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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.