Evidence map›Paper›PMID 37919515›Full record

ArticleDigestive diseases and sciences2024

Gastroenterology Fellowship and Postdoctoral Training in Omics and Statistics-Part II: How Can It Be Achieved?

Madeline Alizadeh, Natalia Sampaio Moura, Alyssa Schledwitz, Seema A Patil, Jacques Ravel, Jean-Pierre Raufman

Abstract readEditorial
In one paragraph

Article in Digestive diseases and sciences, 2024. 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

6 authors.

Madeline AlizadehThe Institute for Genome Sciences, University of Maryland School of Medicine, Baltimore, MD, 20201, USA.
Natalia Sampaio MouraDivision of Gastroenterology and Hepatology, Department of Medicine, University of Maryland School of Medicine, Baltimore, MD, 21201, USA.
Alyssa SchledwitzDivision of Gastroenterology and Hepatology, Department of Medicine, University of Maryland School of Medicine, Baltimore, MD, 21201, USA.
Seema A PatilDivision of Gastroenterology and Hepatology, Department of Medicine, University of Maryland School of Medicine, Baltimore, MD, 21201, USA.
Jacques RavelThe Institute for Genome Sciences, University of Maryland School of Medicine, Baltimore, MD, 20201, USA.
Jean-Pierre RaufmanDivision of Gastroenterology and Hepatology, Department of Medicine, University of Maryland School of Medicine, Baltimore, MD, 21201, USA. jraufman@som.umaryland.edu.

Funding

Research Training in Gastroenterology and HepatologyT32DK067872 · NIDDK · UNIVERSITY OF MARYLAND BALTIMORE · PI RAUFMAN, JEAN-PIERRE · 2005 to 2024
$7.2M
Muscarinic Receptors Regulate Colon Cancer Stem Cell Function and InvasivenessI01BX004890 · VA · BALTIMORE VA MEDICAL CENTER · PI RAUFMAN, JEAN-PIERRE · 2021 to 2024
–
BLRD VA I01 BX004890NIDDK NIH HHS T32 DK067872NIDDK NIH HHS T32 DK067872-19
6 · The paper itself

Abstract

Data are being generated, collected, and aggregated in massive quantities at exponentially increasing rates. This "big data," discussed in depth in the first section of this two-part series, is increasingly important to understand the nuances of the gastrointestinal tract and its complex interactions and networks involving a host of other organ systems and microbes. Creating and using these datasets correctly requires comprehensive training; however, current instruction in the integration, analysis, and interpretation of big data appears to lag far behind data acquisition. While opportunities exist for those interested in acquiring the requisite training, these appear to be underutilized, in part due to widespread ignorance of their existence. Here, to address these gaps in knowledge, we highlight existing big data learning opportunities and propose innovative approaches to attain such training. We offer suggestions at both the undergraduate and graduate medical education levels for prospective clinical and basic investigators. Lastly, we categorize training opportunities that can be selected to fit specific needs and timeframes.

Indexed as

Fellowships and ScholarshipsGastroenterologyCurriculumHumansPostdoctoral TrainingProspective StudiesBig dataGastroenterologyHepatologyMedical educationMedical informatics

Identifiers

PMID37919515
PMCPMC10876148

What OpenQuestion holds

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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.