Evidence map›Paper›PMID 41852469›Full record

ArticleFrontiers in endocrinology2026

Real world experience with [

Linus Hesse, Anna Herden, James MacFarlane, Daniel Gillett, Tina Kienitz, Sophie Howarth, Loreen Richter, Dominik Soll, Dominik Spira, Frederike Butz and 8 more

Abstract read
In one paragraph

Article in Frontiers in endocrinology, 2026. 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

18 authors.

Linus HesseDepartment of Endocrinology and Metabolism, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, European Reference Network on Rare Endocrine Diseases (ENDO-ERN), Berlin, Germany.
Anna HerdenDepartment of Nuclear Medicine, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany.
James MacFarlaneCambridge Endocrine Molecular Imaging Group, Institute of Metabolic Science, University of Cambridge and National Institute for Health Research Cambridge Biomedical Research Centre, Addenbrooke's Hospital, Cambridge, United Kingdom.
Daniel GillettCambridge Endocrine Molecular Imaging Group, Institute of Metabolic Science, University of Cambridge and National Institute for Health Research Cambridge Biomedical Research Centre, Addenbrooke's Hospital, Cambridge, United Kingdom.
Tina KienitzEndocrinology in Charlottenburg, Berlin, Germany.
Sophie HowarthCambridge Endocrine Molecular Imaging Group, Institute of Metabolic Science, University of Cambridge and National Institute for Health Research Cambridge Biomedical Research Centre, Addenbrooke's Hospital, Cambridge, United Kingdom.
Loreen RichterDepartment of Endocrinology and Metabolism, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, European Reference Network on Rare Endocrine Diseases (ENDO-ERN), Berlin, Germany.
Dominik SollDepartment of Endocrinology and Metabolism, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, European Reference Network on Rare Endocrine Diseases (ENDO-ERN), Berlin, Germany.
Dominik SpiraDepartment of Endocrinology and Metabolism, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, European Reference Network on Rare Endocrine Diseases (ENDO-ERN), Berlin, Germany.
Frederike ButzDepartment of Surgery, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany.
Martina T MoglDepartment of Surgery, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany.
Federico CollettiniDepartment of Radiology, Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany.
Christian J StrasburgerDepartment of Endocrinology and Metabolism, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, European Reference Network on Rare Endocrine Diseases (ENDO-ERN), Berlin, Germany.
Lukas MaurerDepartment of Endocrinology and Metabolism, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, European Reference Network on Rare Endocrine Diseases (ENDO-ERN), Berlin, Germany.
Knut MaiDepartment of Endocrinology and Metabolism, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, European Reference Network on Rare Endocrine Diseases (ENDO-ERN), Berlin, Germany.
Mark GurnellCambridge Endocrine Molecular Imaging Group, Institute of Metabolic Science, University of Cambridge and National Institute for Health Research Cambridge Biomedical Research Centre, Addenbrooke's Hospital, Cambridge, United Kingdom.
Christian FurthDepartment of Nuclear Medicine, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany.
Linus HaberboschDepartment of Endocrinology and Metabolism, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, European Reference Network on Rare Endocrine Diseases (ENDO-ERN), Berlin, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Positron emission tomography (PET) of the adrenal glands emerged as a non-invasive alternative to adrenal vein sampling (AVS) for treatment selection in primary aldosteronism (PA). The C-X-C-chemokine-receptor type 4 targeting tracer [ Methods: Between 11/2023 and 01/2025, 35 consecutive PA patients underwent [ Results: Agreement between local and external readings was 80% (28/35), increasing to 94% (33/35) after applying harmonized PET/CT criteria. Based on local readings, 18/35 scans (51%) were interpreted as unilateral. In contrast, both the external review and the local team's re-evaluation classified 11/35 (31%) as high probability, and 10/35 (29%) as intermediate probability of unilateral PA. According to local AVS criteria, 10/14 interpretable AVS indicated unilateral disease, with 8/10 concordant on PET. Combining successfully and partially cannulated AVS with PET findings, high confidence to diagnose unilateral disease increased to 12/22 (55%) patients. Twelve patients underwent adrenalectomy with PASO outcomes assessed ≥ 6 months after surgery, identified by AVS, PET or both (n=3, n=8 and n=1, respectively). Complete biochemical remission occurred in 2/3 operated patients based on AVS, 6/8 operated patients informed by PET, and 1/1 guided by both. Conclusion: [

Indexed as

Coordination ComplexesHyperaldosteronismPeptides, CyclicPositron Emission Tomography Computed TomographyAdultAgedFemaleGallium RadioisotopesHumansMaleMiddle AgedRadiopharmaceuticals68Ga-pentixaforCoordination ComplexesGallium RadioisotopesPeptides, CyclicRadiopharmaceuticals[68Ga]PentixaForadrenal molecular imagingadrenal vein samplingpositron emission tomographyprimary aldosteronism

Identifiers

PMID41852469
PMCPMC12992006

What OpenQuestion holds

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Registered trials

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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.