Evidence map›Paper›PMID 33790855›Full record

ArticleFrontiers in endocrinology2021

Model-Based Assessment of C-Peptide Secretion and Kinetics in Post Gastric Bypass Individuals Experiencing Postprandial Hyperinsulinemic Hypoglycemia.

Michele Schiavon, David Herzig, Matthias Hepprich, Marc Y Donath, Lia Bally, Chiara Dalla Man

Open access · goldAbstract readEvaluation Study
In one paragraph

Article in Frontiers in endocrinology, 2021. 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
1.2field-weighted citation impact, top 21% 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, 10 citations in OpenAlex.

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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 at 4 institutions in 2 countries.

Michele SchiavonDepartment of Information Engineering, University of Padova, Padova, Italy.
David HerzigDepartment of Diabetes, Endocrinology, Nutritional Medicine and Metabolism, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland.
Matthias HepprichDivision of Endocrinology, Diabetes and Metabolism, University Hospital Basel, Basel, Switzerland.
Marc Y DonathDivision of Endocrinology, Diabetes and Metabolism, University Hospital Basel, Basel, Switzerland.
Lia BallyDepartment of Diabetes, Endocrinology, Nutritional Medicine and Metabolism, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland.
Chiara Dalla ManDepartment of Information Engineering, University of Padova, Padova, Italy.
University Hospital of Basel · CHUniversity of Padua · ITUniversity Hospital of Bern · CHUniversity of Bern · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Assessment of insulin secretion is key to diagnose postprandial hyperinsulinemic hypoglycemia (PHH), an increasingly recognized complication following bariatric surgery. To this end, the Oral C-peptide Minimal Model (OCMM) can be used. This usually requires fixing C-peptide (CP) kinetics to the ones derived from the Van Cauter population model (VCPM), which has never been validated in PHH individuals. The objective of this work was to test the validity of the OCMM coupled with the VCPM in PHH subjects and propose a method to overcome the observed limitations. Two cohorts of adults with PHH after gastric bypass (GB) underwent either a 75 g oral glucose (9F/3M; age=42±9 y; BMI=28.3±6.9 kg/m

Indexed as

AdultBlood GlucoseCohort StudiesC-PeptideFemaleGastric BypassGlucose Tolerance TestHumansHyperinsulinismHypoglycemiaInsulinKineticsMaleMiddle AgedModels, BiologicalObesity, MorbidBlood GlucoseC-PeptideInsulininsulin secretionmixed mealmodel identificationobesityOGTToral minimal modelparameter estimation

Identifiers

PMID33790855
PMCPMC8006944
OpenAlexW3136060301

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.