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Record W4403148533 · doi:10.1210/jendso/bvae163.590

12470 International Study Evaluating Time To Adrenalectomy For Primary Aldosteronism

2024· article· en· W4403148533 on OpenAlexaff
Charmaine Ter Li Min, K. Han, Marta Araujo‐Castro, Eleftheria Gkaniatsa, Martín Reincke, Thang Viet Tran, Hieu Tran, Michael Stowasser, Marianne Aardal Grytaas, Adina F. Turcu, Joanna Matrozova, Norlela Sukor, Tomaž Kocjan, René Baudrand, Mika Tsuiki, Masanori Murakami, Jun Yang, Takuyuki Katabami, Mitsuhide Naruse, Matthieu St‐Jean, Filippo Ceccato, Troy Puar

Bibliographic record

VenueJournal of the Endocrine Society · 2024
Typearticle
Languageen
FieldMedicine
TopicHormonal Regulation and Hypertension
Canadian institutionsUniversité de Sherbrooke
Fundersnot available
KeywordsPrimary aldosteronismAdrenalectomyMedicinePrimary (astronomy)UrologyInternal medicineAldosteronePhysics

Abstract

fetched live from OpenAlex

Abstract Disclosure: C. Ter Li Min: None. K. Xuan Han: None. M. Araujo-Castro: None. E. Gkaniatsa: None. M. Reincke: None. T. Viet Tran: None. H. Tran: None. M. Stowasser: None. M.A. Grytaas: None. A. Turcu: None. J. Matrozova: None. N. Sukor: None. T. Kocjan: None. R. Baudrand: None. M. Tsuiki: None. M. Murakami: None. J. Yang: None. T. Katabami: None. M. Naruse: None. M. St-Jean: None. F. Ceccato: None. T. Puar Hai Kiat: None. Background: Primary aldosteronism (PA) is a common cause of hypertension. Patients with unilateral PA can be cured by adrenalectomy. However, the time required to undergo specialised tests like adrenal vein sampling (AVS), and laparoscopic adrenalectomy may delay management. We assessed the current time-to-adrenalectomy (TTA) for patients with PA worldwide. Methods: We conducted an international, multi-center retrospective study involving 37 centers from 15 countries to determine the total time from first presentation to adrenalectomy, and each interval: screening (first presentation to first screening test), confirmatory, subtyping, and adrenalectomy. We included all patients with PA who underwent adrenalectomy from 1st January 2018 to 30th October 2022. After adrenalectomy, patients were evaluated using Primary Aldosteronism Surgery Outcome (PASO) consensus. Patient and center characteristics were compared at the 25th, 50th, and 75th percentiles of TTA using multivariable quantile regression. Multivariable linear regression was used to identify factors associated with longer intervals. Results: Among 708 included patients (mean age 49.2 years, 45.8% female), the overall median TTA was 14.0 months (IQR 7.1-25.2). The median intervals were 0.1 months (screening), 2.3 months (confirmatory), 4.2 months (subtyping), and 5.1 months (adrenalectomy). On multivariable analyses, patients with an additional screening test, an additional AVS, and who presented post-COVID-19 had a significantly longer TTA at the 75th percentile, by 3.2 months, 12.3 months, and 6.0 months respectively. Other factors that increased TTA were younger age, lower baseline diastolic blood pressure (BP) and more baseline BP medications. Factors associated with a longer screening interval included younger age, lower baseline potassium, and lower diastolic BP, while additional screening tests were associated with a longer confirmatory interval. Factors associated with a longer adrenalectomy interval were more baseline BP medications, additional confirmatory tests and additional AVS. Patients who presented post-COVID-19 were associated with longer time at all intervals. Compared to centers that routinely perform AVS, centers without AVS had shorter TTA (6.1 vs 16.5 months, P<0.001), similar PASO clinical outcome, but poorer PASO biochemical outcome, with complete, partial and absent biochemical success seen in 66.4%, 11.9%, 21.6% vs 86.8%, 3.7%, 9.5%, P<0.001, respectively. Conclusion: Based on real-world data from patients with PA managed in five continents, most patients required more than one year from first specialist presentation to adrenalectomy. The longest intervals are time required to undergo AVS and adrenalectomy. While omitting AVS may reduce the TTA, this is associated with poorer biochemical outcome. The COVID-19 pandemic contributed to delayed healthcare delivery worldwide. Presentation: 6/1/2024

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.005
Threshold uncertainty score0.018

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.003
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0050.001

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 head0.030
GPT teacher head0.360
Teacher spread0.330 · 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 source (direct Gemma or distilled Codex), 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".

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Citations0
Published2024
Admission routes1
Has abstractyes

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