Evidence map›Paper›PMID 42852102›Full record

ArticleCase reports in endocrinology2026

Persistent Hyperinsulinemic Hypoglycemia After Insulinoma Surgery: Diagnostic Impact of GLP-1 Receptor PET/CT After Negative Conventional Imaging.

Lorenzo Taglia, Alessandra Guercio, Silvia Migliari, Angela Vazzana, Riccardo C Bonadonna, Livia Ruffini, Alessandra Dei Cas

Abstract read
In one paragraph

Article in Case reports in endocrinology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

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4 · The record

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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

7 authors.

Lorenzo TagliaDepartment of Medicine and Surgery University of Parma Parma Italy unipr.it.ORCID https://orcid.org/0009-0006-8027-4520
Alessandra GuercioNuclear Medicine Division University Hospital of Parma Parma Italy parmahospital.org.ORCID https://orcid.org/0009-0003-6913-8331
Silvia MigliariNuclear Medicine Division University Hospital of Parma Parma Italy parmahospital.org.ORCID https://orcid.org/0000-0002-2082-773X
Angela VazzanaEndocrinology and Metabolic Diseases Azienda Ospedaliero-Universitaria of Parma Parma Italy unipr.it.
Riccardo C BonadonnaDepartment of Medicine and Surgery University of Parma Parma Italy unipr.it.ORCID https://orcid.org/0000-0002-9809-1005
Livia RuffiniNuclear Medicine Division University Hospital of Parma Parma Italy parmahospital.org.ORCID https://orcid.org/0000-0002-4398-8368
Alessandra Dei CasDepartment of Medicine and Surgery University of Parma Parma Italy unipr.it.ORCID https://orcid.org/0000-0002-8666-4849

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Localization of recurrent or residual insulinoma may be particularly challenging in postoperative setting, especially in the presence of postoperative anatomical distortion and inconclusive conventional imaging. Case Presentation: A 71-year-old man developed recurrent endogenous hyperinsulinemic hypoglycemia following apparently curative surgical enucleation of a pancreatic insulinoma. The postoperative course was complicated by intra-abdominal hemorrhage and pseudocyst formation, resulting in marked anatomical distortion. Despite persistent biochemical evidence of insulinoma recurrence, serial contrast-enhanced computed tomography (CT) and Conclusion: This case highlights the clinical value of GLP-1 receptor PET/CT for localizing insulinoma in the context of negative conventional or somatostatin receptor (SSTR)-based imaging. Accurate functional localization may directly guide minimally invasive therapeutic interventions and help avoid high-risk reoperative pancreatic surgery.

Indexed as

68Ga-NODAGA-Exendin-4endoscopic ultrasoundGLP-1 receptor PET/CTinsulinomaradiofrequency ablationrecurrent hypoglycemia

Identifiers

PMID42852102
PMCPMC13647209

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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.