Evidence map›Paper›PMID 40348938›Full record

ArticlePituitary2025

Estimation of the biological variation of IGF-I in multimorbid geriatric patients and its clinical implications.

Olivia Tausendfreund, Hannah Reif, Martin Bidlingmaier, Sebastian Martini, Michaela Rippl, Katharina Schilbach, Sabine Schluessel, Ralf Schmidmaier, Michael Drey

Abstract read
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In one paragraph

Article in Pituitary, 2025. 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

9 authors.

Olivia TausendfreundDepartment of Medicine IV, University Hospital, LMU Munich, Ziemsenstraße 5, 80336, Munich, Germany. o.tausendfreund@med.uni-muenchen.de.
Hannah ReifDepartment of Medicine IV, University Hospital, LMU Munich, Ziemsenstraße 5, 80336, Munich, Germany.
Martin BidlingmaierDepartment of Medicine IV, University Hospital, LMU Munich, Ziemsenstraße 5, 80336, Munich, Germany.
Sebastian MartiniDepartment of Medicine IV, University Hospital, LMU Munich, Ziemsenstraße 5, 80336, Munich, Germany.
Michaela RipplDepartment of Medicine IV, University Hospital, LMU Munich, Ziemsenstraße 5, 80336, Munich, Germany.
Katharina SchilbachDepartment of Medicine IV, University Hospital, LMU Munich, Ziemsenstraße 5, 80336, Munich, Germany.
Sabine SchluesselDepartment of Medicine IV, University Hospital, LMU Munich, Ziemsenstraße 5, 80336, Munich, Germany.
Ralf SchmidmaierDepartment of Medicine IV, University Hospital, LMU Munich, Ziemsenstraße 5, 80336, Munich, Germany.
Michael DreyDepartment of Medicine IV, University Hospital, LMU Munich, Ziemsenstraße 5, 80336, Munich, Germany.

Funding

Else Kröner-Fresenius-Stiftung 2021_EKSE.52
6 · The paper itself

Abstract

purposeIGF-I is a well-established biomarker for detecting abnormalities in the growth hormone axis and evaluating effectiveness of growth hormone (GH) treatment. Common age-related diseases, such as sarcopenia are associated with impairments in the GH axis, making targeted GH therapy a potential treatment option. Nonetheless, data on the biological variation of IGF-I in older patients are missing, potentially leading to inaccurate interpretation of IGF-I concentrations in the diagnostic and therapeutic process. Our study aims to address this gap.

methodsWe conducted a retrospective analysis of IGF-I concentrations measured in samples from the geriatric outpatient facility of the Ludwig-Maximilians-University Hospital, Munich and the respective patient data from the MUnich SArcopenia Registry (MUSAR). Using a mixed-effects model, we estimated the intraindividual biological coefficient of variation (CVi). We calculated the Reference Change Values (RCV) and the Index of Individuality (II).

results246 serum samples from 89 patients (mean age 83 years, range 70-97) were analyzed. The CV

conclusionThe CV

Indexed as

Insulin-Like Growth Factor IAgedAged, 80 and overFemaleHumansMaleRetrospective StudiesSarcopeniaIGF1 protein, humanInsulin-Like Growth Factor IBiological variationGeriatricGrowth hormone axisInsulin like growth factor I

Identifiers

PMID40348938

What OpenQuestion holds

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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.