Evidence mapPaperPMID 38491158Full record

SynthesisScientific reports2024

Lipid levels and risk of acute pancreatitis using bidirectional Mendelian randomization.

Biqi Wang, Jacqueline S Dron, Yuxuan Wang, Seung Hoan Choi, Jennifer E Huffman, Kelly Cho, Peter W F Wilson, Pradeep Natarajan, Gina M Peloso

Open access · goldAbstract readMeta-Analysis
In one paragraph

Synthesis in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
9.2field-weighted citation impact, top 2% 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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 16 citations in OpenAlex.

  1. Pooled it
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  3. Review
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  5. Article
  6. Review
  7. Foods (Basel, Switzerland) · 2025
    Article
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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

9 authors at 6 institutions in 1 country.

Biqi WangDepartment of Biostatistics, Boston University School of Public Health, Boston, MA, USA.
Jacqueline S DronCenter for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA.
Yuxuan WangDepartment of Biostatistics, Boston University School of Public Health, Boston, MA, USA.
Seung Hoan ChoiDepartment of Biostatistics, Boston University School of Public Health, Boston, MA, USA.
Jennifer E HuffmanVeterans Affairs Healthcare System, Boston, MA, USA.
Kelly ChoVeterans Affairs Healthcare System, Boston, MA, USA.
Peter W F WilsonAtlanta Veterans Affairs Medical Center, Decatur, GA, USA.
Pradeep NatarajanCenter for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA.
Gina M PelosoDepartment of Biostatistics, Boston University School of Public Health, Boston, MA, USA. gpeloso@bu.edu.
Boston University · USBroad Institute · USHarvard University · USMassachusetts General Hospital · USVA Boston Healthcare System · USVeterans Health Administration · US

Funding

Whole genome sequences in ethnically diverse individuals to comprehensively characterize the genetic mechanisms of dyslipidemiasR01HL142711 · MASSACHUSETTS GENERAL HOSPITAL · 2025 to 2025
$641k
Investigation of Heart and Vascular Outcomes in Older VeteransI01CX001025 · VETERANS HEALTH ADMINISTRATION · 2025 to 2025
CSRD VA I01 CX001025NHLBI NIH HHS R01 HL127564NHLBI NIH HHS R01 HL142711NIH HHS R01HL142711
6 · The paper itself

Abstract

Previous studies found lipid levels, especially triglycerides (TG), are associated with acute pancreatitis, but their causalities and bi-directions were not fully examined. We determined whether abnormal levels of TG, high-density lipoprotein cholesterol (HDL-C), and low-density lipoprotein cholesterol (LDL-C) are precursors and/or consequences of acute pancreatitis using bidirectional two-sample Mendelian randomization (MR) with two non-overlapping genome-wide association study (GWAS) summary statistics for lipid levels and acute pancreatitis. We found phenotypic associations that both higher TG levels and lower HDL-C levels contributed to increased risk of acute pancreatitis. Our GWAS meta-analysis of acute pancreatitis identified seven independent signals. Genetically predicted TG was positively associated with acute pancreatitis when using the variants specifically associated with TG using univariable MR [Odds ratio (OR), 95% CI 2.02, 1.22-3.31], but the reversed direction from acute pancreatitis to TG was not observed (mean difference = 0.003, SE = 0.002, P-value = 0.138). However, a bidirectional relationship of HDL-C and acute pancreatitis was observed: A 1-SD increment of genetically predicted HDL-C was associated with lower risk of acute pancreatitis (OR, 95% CI 0.84, 0.76-0.92) and genetically predisposed individuals with acute pancreatitis have, on average, 0.005 SD lower HDL-C (mean difference = - 0.005, SE = 0.002, P-value = 0.004). Our MR analysis confirms the evidence of TG as a risk factor of acute pancreatitis but not a consequence. A potential bidirectional relationship of HDL-C and acute pancreatitis occurs and raises the prospect of HDL-C modulation in the acute pancreatitis prevention and treatment.

Indexed as

Genome-Wide Association StudyPancreatitisAcute DiseaseCholesterol, HDLCholesterol, LDLHumansMendelian Randomization AnalysisPolymorphism, Single NucleotideRisk FactorsTriglyceridesCholesterol, HDLCholesterol, LDLTriglyceridesAcute pancreatitisLipidsMendelian randomization

Identifiers

PMID38491158
PMCPMC10942988
OpenAlexW4392851458

What Socratic holds

Textmetadata
LicenceCC BY
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Registered trials

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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 Socratic graph.