Evidence map›Paper›PMID 38222374›Full record

ArticleAMIA ... Annual Symposium proceedings. AMIA Symposium2023

Subtyping Gastrointestinal Surgical Outcomes from Real World Data: A Comprehensive Analysis of UK Biobank.

Uri Kartoun, Kingsley Njoku, Tesfaye Yadete, Sivan Ravid, Eileen Koski, William Ogallo, Joao Bettencourt-Silva, Natasha Mulligan, Jianying Hu, Julia Liu and 2 more

Abstract read
In one paragraph

Article in AMIA ... Annual Symposium proceedings. AMIA Symposium, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

12 authors.

Uri KartounIBM Research, Cambridge, MA, USA.
Kingsley NjokuDepartment of Internal Medicine, Morehouse School of Medicine, Atlanta, GA, USA.
Tesfaye YadeteDepartment of Inflammation and Immunity, Lerner Research Institute, Cleveland Clinic, Cleveland, OH, USA.
Sivan RavidHealthcare Informatics, IBM Research-Haifa, Mount Carmel Haifa, Israel.
Eileen KoskiIBM Research, Yorktown Heights, NY, USA.
William OgalloIBM Research Africa, Kenya.
Joao Bettencourt-SilvaIBM Research Europe, Dublin, Ireland.
Natasha MulliganIBM Research Europe, Dublin, Ireland.
Jianying HuIBM Research, Yorktown Heights, NY, USA.
Julia LiuDepartment of Internal Medicine, Morehouse School of Medicine, Atlanta, GA, USA.
Thaddeus StappenbeckDepartment of Inflammation and Immunity, Lerner Research Institute, Cleveland Clinic, Cleveland, OH, USA.
Vibha AnandIBM Research, Cambridge, MA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chronic gastrointestinal (GI) conditions, such as inflammatory bowel diseases (IBD), offer a promising opportunity to create classification systems that can enhance the accuracy of predicting the most effective therapies and prognosis for each patient. Here, we present a novel methodology to explore disease subtypes using our open-sourced BiomedSciAI toolkit. Applying methods available in this toolkit on the UK Biobank, including subpopulation-based feature selection and multi-dimensional subset scanning, we aimed to discover unique subgroups from GI surgery cohorts. Of a 12,073-patient cohort, a subgroup of 440 IBD patients was discovered with an increased risk of a subsequent GI surgery (OR: 2.21, 95% CI [1.81-2.69]). We iteratively demonstrate the discovery process using an additional cohort (with a narrower definition of GI surgery). Our results show that the iterative process can refine the subgroup discovery process and generate novel hypotheses to investigate determinants of treatment response.

Indexed as

Inflammatory Bowel DiseasesUK BiobankBiological Specimen BanksChronic DiseaseHumansPrognosisTreatment Outcome

Identifiers

PMID38222374
PMCPMC10785930

What OpenQuestion holds

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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 OpenQuestion graph.