Evidence map›Paper›PMID 32740003›Full record

ReviewCurrent opinion in gastroenterology2020

Precision medicine for pancreatic diseases.

Celeste A Shelton, David C Whitcomb

Open access · greenAbstract readReview
In one paragraph

Review in Current opinion in gastroenterology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.3field-weighted citation impact, top 39% 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

5 citing papers in PubMed, 8 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Review
  5. 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

2 authors at 1 institution in 1 country.

Celeste A SheltonAriel Precision Medicine.
David C WhitcombDepartments of Medicine, Cell Biology and Molecular Physiology, and Human Genetics, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
GTx (United States) · US

Funding

Digestive Diseases Training ProgramT32DK063922 · NIDDK · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI ARTEEL, GAVIN E, YADAV, DHIRAJ · 2003 to 2022
$5.2M
North American Pancreatitis Study 2 (NAPS2)R01DK061451 · NIDDK · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI WHITCOMB, DAVID CLEMENT · 2002 to 2010
$4.9M
NAPS2 Continuation Genome Wide Association Study of PancreatitisR56DK061451 · NIDDK · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI WHITCOMB, DAVID CLEMENT · 2011 to 2011
$1.3M
NIDDK NIH HHS R01 DK061451NIDDK NIH HHS R56 DK061451NIDDK NIH HHS T32 DK063922
6 · The paper itself

Abstract

purpose of reviewWe describe and contrast the strengths of precision medicine with Western medicine, and complex trait genetics with Mendelian genetics. Classic genetics focuses on highly penetrant pathogenic variants in a single gene believed to cause or confer a high risk for well-defined phenotypes. However, a minority of disorders have a single gene cause. Further, even individuals with identical Mendelian disease-associated genotypes may exhibit substantial phenotypic variability indicative of genetic and environmental modifiers. Still, most diseases are considered complex traits (or complex diseases). RECENT

findingsNew insights into the genetic underpinnings of complex traits provide opportunities for advances in diagnosis and management. Precision medicine provides the framework for integrating complex trait knowledge into clinical care through a sophisticated analysis pipeline. Multidimensional modeling of acquired diseases includes multiple genetic risks scattered over many genes and gene regulators that must be interpreted on the basis of functional evidence (e.g., genomics, transcriptomics) with structured models and expert systems; strengthened with machine learning and artificial intelligence. The choice of genotyping approaches (shotgun sequencing, single nucleotide polymorphism chips, targeted panels) is discussed. SUMMARY: The result of a good precision medicine tool is clinical-decision support and guidance to tackle complex disorders such as pancreatitis, diabetes, and pancreatic cancer oncogenesis.

Indexed as

Diabetes MellitusPancreatic DiseasesArtificial IntelligenceGenomicsHumansPrecision Medicine

Identifiers

PMID32740003
PMCPMC7748065
OpenAlexW3045960646

What OpenQuestion holds

Textmetadata
LicenceTDM
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.