In one paragraphArticle in Gut microbes, 2026. 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
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 registryThe 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 literatureWho cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
4 · The recordCorrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
5 · Who and what moneyAuthors and funding
17 authors.
Zachary T CatererDepartment of Biomedical Informatics, University of Colorado Anschutz, Aurora, USA.ORCID 0000-0001-9019-0730 Iain R KonigsbergDepartment of Biomedical Informatics, University of Colorado Anschutz, Aurora, USA.ORCID 0000-0001-7356-100X Catherine A LozuponeDepartment of Biomedical Informatics, University of Colorado Anschutz, Aurora, USA.ORCID 0000-0003-4786-7202 Danielle M OstendorfDepartment of Kinesiology, Recreation, and Sports Studies, University of Tennessee, Knoxville, USA.ORCID 0000-0002-3923-5726 Sarah J BorengasserDepartment of Pediatrics, Diabetes & Endocrinology, University of Oklahoma Health Campus, USA.ORCID 0000-0002-9984-0178 Maggie A StanislawskiDepartment of Biomedical Informatics, University of Colorado Anschutz, Aurora, USA.ORCID 0000-0001-7768-8868 Funding
PILOT STUDY--SUBSTRATE METABOLISM IN EXTREMELY LOW BIRTH WEIGHT INFANTSP30DK048520 · NIDDK · UNIVERSITY OF COLORADO DENVER · PI BRYAN C BERGMAN · 1995 to 2026
$32.6MSuppression of ERalpha in Hematopoietic Stem Cell-Derived Adipocytes Increases Adiposity via Kynurenine and the Aryl Hydrocarbon ReceptorU54AG062319 · NIA · UNIVERSITY OF COLORADO DENVER · PI Wendy M Kohrt · 2018 to 2026
$13.5MComputational Bioscience Program Training GrantT15LM009451 · NLM · UNIVERSITY OF COLORADO DENVER · PI Katherina Kechris-Mays, Arjun Krishnan · 2007 to 2026
$11.7MNIDDK National Research Service Award (NRSA) T32 Diversity Administrative SupplementT32DK007658 · NIDDK · UNIVERSITY OF COLORADO DENVER · PI Kristen Elizabeth Boyle, Ihuoma U Eneli · 1991 to 2026
$6.0MNovel dietary interventions for reducing obesity-associated breast cancerR01CA258766 · NCI · UNIVERSITY OF COLORADO DENVER · PI VICTORIA A CATENACCI, Peter Kabos · 2022 to 2026
$3.1MThe Contribution of Omic Profiles to Weight Loss and ObesityK01HL157658 · NHLBI · UNIVERSITY OF COLORADO DENVER · PI Maggie A Stanislawski · 2022 to 2026
$794kNCI NIH HHS R01 CA258766NHLBI NIH HHS K01 HL157658NIA NIH HHS U54 AG062319NIDDK NIH HHS P30 DK048520NIDDK NIH HHS T32 DK007658NLM NIH HHS T15 LM009451
6 · The paper itselfAbstract
Obesity is a multifactorial condition, and there is wide heterogeneity in responses to weight loss interventions. Although it remains challenging, modeling responses to weight loss interventions can help tailor treatments, increase weight loss success, or improve our understanding of underlying pathophysiology. We leveraged multi-omic (genetics; gut microbiota: taxonomy, inferred gene pathways and metabolite dynamics; blood metabolomics) and clinical data (e.g., lipids, blood glucose) from a 12-month behavioral weight loss trial of adults (
Indexed as
Body Mass IndexObesityOverweightWeight LossAdultFemaleGastrointestinal MicrobiomeHumansMaleMetabolomicsMiddle AgedMultiomicsBehavioral interventionMetabolomicsMicrobiomeObesityWeight loss
Identifiers
PMID42458730
PMCPMC13378728
What OpenQuestion holds
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