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Record W4408179021 · doi:10.1210/clinem/dgaf154

Postoperative Outcomes in Normotensive and Hypertensive Pheochromocytomas: An International Study

2025· article· en· W4408179021 on OpenAlexaff
Marta Araujo‐Castro, Aura D. Herrera‐Martínez, Yanbo Wang, Zhicheng Wang, Maciej Śledziński, Andrzej Hellmann, Marco Raffaelli, Francesco Pennestrì, Mark Sywak, Alexander Papachristos, Fausto Palazzo, Tae‐Yon Sung, Byung-Chang Kim, Yu‐Mi Lee, Fiona Eatock, Hannah Anderson, Maurizio Iacobone, Albertas Daukša, Özer Makay, Yiğit Türk, Hafize Basut Atalay, Els J.�M. Nieveen van Dijkum, Anton F. Engelsman, Isabelle Holscher, Gabriele Materazzi, Leonardo Rossi, Chiara Becucci, Susannah Shore, Clare Fung, Alison Waghorn, Radu Mihai, Sabapathy P. Balasubramanian, Arslan Pannu, Shuichi Tatarano, David Velázquez‐Fernández, Julie Ann Miller, Hazel Serrao‐Brown, Yufei Chen, Marco Stefano Demarchi, Reza Djafarrian, H Doran, Kelvin Wang, Michael Stechman, Helen Perry, Johnathan Hubbard, Cristina Lamas, Philippa Mercer, Janet L. Macpherson, Supanut Lumbiganon, María Calatayud, Felicia A. Hanzu, Óscar Vidal, C. Mínguez Ojeda, Theodossis S. Papavramidis, Pablo Rodríguez de Vera Gómez, Abdulaziz Aldrees, Tariq Altwjry, Nuria Valdés, Cristina Álvarez‐Escolá, Íñigo García Sanz, Concepción Blanco Carrera, Laura Manjón, Paz de Miguel Novoa, Mónica Recasens, Rogelio García Centeno, Cristina Robles Lázaro, Klaas Van Den Heede, Sam Van Slycke, Theodora Michalopoulou, Sebastian Aspinall, Ross Melvin, Joel Wen Liang Lau, Wei Keat Cheah, Man Hon Tang, Han Boon Oh, John Ayuk, Kevin Verhoeff, R. Sutcliffe, Alessandro Parente

Bibliographic record

VenueThe Journal of Clinical Endocrinology & Metabolism · 2025
Typearticle
Languageen
FieldMedicine
TopicAdrenal and Paraganglionic Tumors
Canadian institutionsUniversity of Alberta
FundersInstituto de Salud Carlos IIIEuropean Commission
KeywordsMedicinePheochromocytomaAdrenalectomyPerioperativeBlood pressureComorbidityDiabetes mellitusInternal medicineRetrospective cohort studyComplicationSurgeryEndocrinology

Abstract

fetched live from OpenAlex

CONTEXT: Postoperative outcomes of patients with normotensive pheochromocytomas are poorly documented. OBJECTIVE: We aimed to evaluate the impact of preoperative hypertension on postoperative outcomes following adrenalectomy for pheochromocytoma. METHODS: An international retrospective study of patients undergoing adrenalectomy for pheochromocytoma in 46 centers between 2012 and 2022 was performed. Hypertensive and normotensive pheochromocytoma were defined respectively by the presence or absence of hypertension history before or at the time of pheochromocytoma diagnosis. To evaluate differences in postoperative outcomes between hypertensive and normotensive patients, propensity score matched (PSM) analysis was performed. RESULTS: Among 2016 patients with pheochromocytoma, 1034 (51.2%) had preoperative hypertension and 982 (49.8%) were normotensive. Hypertensive patients were 4.5 years older (P < .001), had a higher prevalence of type 2 diabetes (P < .001), had a higher median Charlson Comorbidity Index (2.0 vs 1.0; P < .001), and had an American Society of Anesthesiologists score of III to IV more frequently (41% vs 19.9%; P < .001) than normotensive patients. Nonadjusted analysis demonstrated that hypertensive patients had longer operative time (115.0 vs 103.5 minutes; P = .026), higher rate of vasopressors at skin closure (19.7% vs 15.4%; P = .013), more perioperative blood transfusions (7.7% vs 5.0%; P = .016), and an increased complication rate (21.6% vs 17.7%; P = .029). However, after 1:1 PSM, we found that readmission, complications, and serious complications were similar between cohorts. CONCLUSION: Patients with hypertensive pheochromocytomas have a higher risk of postoperative complications than normotensive patients due to the association of hypertension with a higher burden of comorbidities and older age. However, hypertension is not an independent risk factor of postoperative complications after pheochromocytoma surgery.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.092
Threshold uncertainty score0.419

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.046
GPT teacher head0.420
Teacher spread0.374 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations5
Published2025
Admission routes1
Has abstractyes

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