Evidence map›Paper›PMID 39303070›Full record

ArticleEuropean journal of endocrinology2024

Management and follow-up strategies for patients with head and neck paraganglioma.

Susan Richter, Karel Pacak, Henricus P M Kunst, Andrzej Januszewicz, Svenja Nölting, Hanna Remde, Mercedes Robledo, Graeme Eisenhofer, Henri J L M Timmers, Christina Pamporaki

Abstract read
In one paragraph

Article in European journal of endocrinology, 2024. 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
–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

5 citing papers in PubMed.

  1. Article
  2. Mapping the neglected topic in head and neck paraganglioma research: a PRISMA scoping review on quality of life.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2026
    Article
  3. Review
  4. Article
  5. Review
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

10 authors.

Susan RichterInstitute for Clinical Chemistry and Laboratory Medicine, Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universität Dresden, 01307 Dresden, Germany.ORCID 0000-0002-3549-2477
Karel PacakEunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda 20892, MD, United States.ORCID 0000-0002-3541-3767
Henricus P M KunstDepartment of Otorhinolaryngology, Radboud University Medical Centre, 6525 GA Nijmegen, The Netherlands.
Andrzej JanuszewiczDepartment of Hypertension, National Institute of Cardiology, 04-628 Warsaw, Poland.
Svenja NöltingMedizinische Klinik and Poliklinik IV, Ludwig-Maximilians-Universität München, 80336 Munich, Germany.
Hanna RemdeDivision of Endocrinology and Diabetes, Department of Internal Medicine I, University Hospital, University of Würzburg, 97080 Würzburg, Germany.ORCID 0000-0002-3499-5910
Mercedes RobledoHereditary Endocrine Cancer Group, CNIO, 28029 Madrid, Spain.ORCID 0000-0001-6256-5902
Graeme EisenhoferDepartment of Internal Medicine III, University Clinic Carl Gustav Carus, Technische Universität Dresden, 01307 Dresden, Germany.ORCID 0000-0002-8601-9903
Henri J L M TimmersDepartment of Internal Medicine, Radboud University Medical Centre, 6265 GA Nijmegen, The Netherlands.
Christina PamporakiDepartment of Internal Medicine III, University Clinic Carl Gustav Carus, Technische Universität Dresden, 01307 Dresden, Germany.

Funding

German Research FoundationNIH HHS
6 · The paper itself

Abstract

objectiveHead-neck paragangliomas (HNPGLs) are rare tumors with approximately half arising due to germline pathogenic variants (PVs) in succinate dehydrogenase genes (SDHx). Patients with HNPGL have heterogeneous propensity to recur and metastasize. Thus, we aim to assess prevalence and predictors of recurrent (RD) and/or metastatic disease in patients with and without SDHx-related HNPGLs. DESIGN AND

methodsThis cross-sectional study used retrospective data of 214 patients enrolled in six referral centers. Data included sex, age, primary tumor treatment, location, and size, biochemical phenotype, germline PVs, presence of RD (locoregional or new tumor), and/or metastasis.

resultsPatients with and without SDHx-related HNPGLs showed 74% and 40% prevalence of RD, respectively. Patients without SDHx-related HNPGLs presented with recurrent tumors only in head-neck regions. The only independent predictor for RD in the entire cohort was presence of SDHx PVs. Metastatic prevalence reached 9%-13%. For patients with SDHx-related HNPGLs, large tumor size (>2.3 cm, OR:50.0, CI:2.6-977.6), young age at initial diagnosis (<42years, OR:27.3, CI:1.8-407.2), and presence of SDHB PV (OR:15.6; CI:1.5-164.8) were independent predictors of metastasis. For patients without SDHx-related HNPGLs, only carotid-body location was an independent predictor of metastasis (OR:18.9, CI:2.0-182.5).

conclusionsPatients without SDHx-related HNPGLs require long-term follow-up due to high prevalence of RD with imaging largely restricted to head-neck regions. As carotid-body HNPGLs have the highest metastatic risk among sporadic tumors, radical treatment with frequent follow-up is suggested until population-based data are available. Importantly, patients with SDHx-related HNPGLs might benefit from early radical treatment when tumors are still small to reduce metastatic risk.

Indexed as

Head and Neck NeoplasmsParagangliomaSuccinate DehydrogenaseAdolescentAdultAgedCross-Sectional StudiesFemaleFollow-Up StudiesHumansMaleMiddle AgedNeoplasm Recurrence, LocalPrevalenceRetrospective StudiesYoung AdultSuccinate Dehydrogenaseclinical guidancegermline testingsporadicsuccinate dehydrogenase

Identifiers

PMID39303070
PMCPMC11443905

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.