Evidence map›Paper›PMID 38417016›Full record

ArticleDiabetes technology & therapeutics2024

Online Classification of Unstructured Free-Living Exercise Sessions in People with Type 1 Diabetes.

Emilia Fushimi, Eleonora M Aiello, Sunghyun Cho, Michael C Riddell, Robin L Gal, Corby K Martin, Susana R Patton, Michael R Rickels, Francis J Doyle

Abstract read
In one paragraph

Article in Diabetes technology & therapeutics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
–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

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Guideline
  2. Article
  3. Article
  4. Review
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.

Emilia FushimiHarvard John A. Paulson School of Engineering and Applied Sciences, Harvard University, Boston, Massachusetts, USA.ORCID 0000-0001-5820-3108
Eleonora M AielloHarvard John A. Paulson School of Engineering and Applied Sciences, Harvard University, Boston, Massachusetts, USA.ORCID 0000-0001-5129-8829
Sunghyun ChoHarvard John A. Paulson School of Engineering and Applied Sciences, Harvard University, Boston, Massachusetts, USA.
Michael C RiddellSchool of Kinesiology and Health Science, Faculty of Health, Muscle Health Research Centre, York University, Toronto, Canada.ORCID 0000-0001-6556-7559
Robin L GalJaeb Center for Health Research, Tampa, Florida, USA.
Corby K MartinPennington Biomedical Research Center, Louisiana State University, Baton Rouge, Louisiana, USA.
Susana R PattonNemours Children's Health, Jacksonville, Florida, USA.ORCID 0000-0002-8902-6965
Michael R RickelsInstitute for Diabetes, Obesity and Metabolism, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA.ORCID 0000-0002-9253-838X
Francis J DoyleHarvard John A. Paulson School of Engineering and Applied Sciences, Harvard University, Boston, Massachusetts, USA.ORCID 0000-0002-3293-9114

Funding

Tracking & Evaluation CoreU54GM104940 · NIGMS · LSU PENNINGTON BIOMEDICAL RESEARCH CTR · PI Peter Todd Katzmarzyk · 2012 to 2026
$69.1M
Research BaseP30DK072476 · NIDDK · LSU PENNINGTON BIOMEDICAL RESEARCH CTR · PI ROBERT A KESTERSON · 2005 to 2026
$26.5M
NIDDK NIH HHS P30 DK072476NIGMS NIH HHS U54 GM104940
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

AlgorithmsBlood GlucoseDiabetes Mellitus, Type 1ExerciseInsulin Infusion SystemsAdultExercise TherapyFemaleHeart RateHumansInsulinMaleMiddle AgedBlood GlucoseInsulinChange in glucoseExercise classificationLong Short-term memoryPhysical activity

Identifiers

PMID38417016
PMCPMC12344123

What OpenQuestion holds

Textmetadata
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.