Evidence map›Paper›PMID 42792742›Full record

ArticleBiomedicines2026

Insulin Tolerance Test in Adult GH Deficiency: An Exploratory Study Deriving BMI-Dependent Cut-Offs Using a Clinical Reference Standard.

Daniela Cuboni, Francesca Mocellini, Michela Sibilla, Giada De Lauro, Emanuele Varaldo, Alessandro Maria Berton, Nunzia Prencipe, Ezio Ghigo, Silvia Grottoli, Mauro Maccario and 1 more

Abstract read
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In one paragraph

Article in Biomedicines, 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
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

11 authors.

Daniela CuboniDepartment of Medical Sciences, Division of Endocrinology, Diabetes and Metabolism, University of Turin, 10126 Turin, Italy.ORCID 0000-0002-5625-2640
Francesca MocelliniDepartment of Medical Sciences, Division of Endocrinology, Diabetes and Metabolism, University of Turin, 10126 Turin, Italy.
Michela SibillaDepartment of Medical Sciences, Division of Endocrinology, Diabetes and Metabolism, University of Turin, 10126 Turin, Italy.ORCID 0009-0005-7205-941X
Giada De LauroDepartment of Medical Sciences, Division of Endocrinology, Diabetes and Metabolism, University of Turin, 10126 Turin, Italy.
Emanuele VaraldoDepartment of Medical Sciences, Division of Endocrinology, Diabetes and Metabolism, University of Turin, 10126 Turin, Italy.ORCID 0000-0002-3772-8586
Alessandro Maria BertonDepartment of Medical Sciences, Division of Endocrinology, Diabetes and Metabolism, University of Turin, 10126 Turin, Italy.ORCID 0000-0002-4745-2624
Nunzia PrencipeDepartment of Medical Sciences, Division of Endocrinology, Diabetes and Metabolism, University of Turin, 10126 Turin, Italy.
Ezio GhigoDepartment of Medical Sciences, Division of Endocrinology, Diabetes and Metabolism, University of Turin, 10126 Turin, Italy.ORCID 0000-0002-2809-8105
Silvia GrottoliDepartment of Medical Sciences, Division of Endocrinology, Diabetes and Metabolism, University of Turin, 10126 Turin, Italy.ORCID 0000-0002-7742-4499
Mauro MaccarioDepartment of Medical Sciences, Division of Endocrinology, Diabetes and Metabolism, University of Turin, 10126 Turin, Italy.
Valentina GascoDepartment of Medical Sciences, Division of Endocrinology, Diabetes and Metabolism, University of Turin, 10126 Turin, Italy.ORCID 0000-0002-6491-5731

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

cut-offsdiagnosisgold standardgrowth hormone deficiencyinsulin tolerance testobesity

Identifiers

PMID42792742
PMCPMC13604730

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.