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Record W4414859036 · doi:10.1097/mph.0000000000003127

Importance of Ambulatory Blood Pressure Monitoring in Childhood Cancer Survivors

2025· article· en· W4414859036 on OpenAlexaff
Fatoş Alkan, Ayşen Türedi Yıldırım, Hüseyin Gülen, Şenol Coşkun

Bibliographic record

VenueJournal of Pediatric Hematology/Oncology · 2025
Typearticle
Languageen
FieldMedicine
TopicChildhood Cancer Survivors' Quality of Life
Canadian institutionsPediatric Oncology Group
Fundersnot available
KeywordsPrehypertensionAmbulatory blood pressureBlood pressureAmbulatoryMalignancyCancer

Abstract

fetched live from OpenAlex

Hypertension is a significant morbidity among childhood cancer survivors (CCS). Ambulatory blood pressure monitoring (ABPM) allows for continuous 24-hour blood pressure assessment and provides valuable insights into abnormal nocturnal dipping (aND) and ambulatory arterial stiffness index (AASI). This study aimed to evaluate the prevalence of hypertension and prehypertension, as well as, the rates of aND, and AASI in CCS. Ambulatory blood pressure monitoring was performed in 49 patients who had completed cancer treatment at least 1 year prior. Among all patients, the prevalence of hypertension and prehypertension was 10% and 16%, respectively. The solid tumor group demonstrated a significantly higher prevalence of prehypertension, nephrotoxic drug exposure, and cumulative doses of endothelium-toxic agents compared with the hematologic malignancy group. However, no significant difference in hypertension prevalence was observed between the 2 groups. Notably, a diagnosis of Wilms tumor was significantly associated with prehypertension. According to ABPM findings, aND was observed in 61% of patients. The higher prevalence of prehypertension and aND in CCS compared with healthy children, along with the observed association between hypertension and AASI, highlights the importance of ABPM in the long-term cardiovascular monitoring of this population. The increased prevalence of prehypertension in patients with solid tumors may be attributed to the cumulative dosage of drugs used during treatment.

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)0.000
metaresearch head score (Gemma)0.002
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 score0.003
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.020
GPT teacher head0.348
Teacher spread0.329 · 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".

Quick stats

Citations1
Published2025
Admission routes1
Has abstractyes

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