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Record W4400363329 · doi:10.1016/j.jtct.2024.06.029

Reproductive Health Assessment and Reports of Fertility Counseling in Pediatric and Adolescent Patients with Sickle Cell Disease After Hematopoietic Cell Transplantation

2024· article· en· W4400363329 on OpenAlexaff
Sobenna A. George, Anirudh Veludhandi, Yijin Xiang, Katie Liu, Elizabeth Stenger, Staci D. Arnold, Akanksha Mehta, David A. Schirmer, Jessica B. Spencer, Gregory M.T. Guilcher, Monica Bhatia, Allistair Abraham, Veronica Gomez‐Lobo, Lakshmanan Krishnamurti, Lillian R. Meacham

Bibliographic record

VenueTransplantation and Cellular Therapy · 2024
Typearticle
Languageen
FieldMedicine
TopicHemoglobinopathies and Related Disorders
Canadian institutionsAlberta Children's HospitalUniversity of Calgary
FundersNational Center for Advancing Translational SciencesNational Heart, Lung, and Blood Institutebluebird bioNational Institutes of HealthAbraham J. and Phyllis Katz Foundation
KeywordsDiseaseFertilityTransplantationFertility preservationHematopoietic cellSavior siblingMedicineHematopoietic stem cell transplantationCellPediatricsHaematopoiesisIntensive care medicineStem cellInternal medicineBiologyGeneticsPopulationEnvironmental health

Abstract

fetched live from OpenAlex

Conditioning regimens for hematopoietic cell transplant (HCT) in patients with sickle cell disease (SCD) place patients at risk for reproductive health issues. The purpose of this study was to assess reproductive health and reports of fertility counseling in patients with SCD who received a transplant. This was a secondary analysis of gonadal hormone production, future infertility risk assessment and parent-proxy/patient reports of fertility counseling in SCD transplant recipients who are currently pubertal and were enrolled in the Atlanta sites of the Sickle Cell Transplant Evaluation of Long-term and Late Effects Registry (STELLAR) between May 2017 and October 2023. Clinical information was abstracted from medical records and reproductive health survey data from the STELLAR database. Descriptive statistics were reported as median (IQR) or percentages. There were 20 females and 12 males in the study population. Females were median (IQR) 19.6 (9.4) years old and males 20.8 (11.4) years old at the time of the study. Transplants most commonly occurred in the decade 2010 – 2019 at 10.7 (4.8) years old for females and 11.1 (4.1) years old for males. Most participants received bone marrow stem cells (95.0% females, 100.0% males) from matched sibling donors (90.0% females, 100.0% males). Participants received one of seven HCT conditioning regimens with cyclophosphamide equivalent doses ranging from 3,388mg/m2 to 9,706mg/m2. The majority of females (90.0%) had diminished ovarian reserve with low anti-Mullerian hormone levels, and 61.1% had premature ovarian insufficiency with two follicle-stimulating hormone levels (FSH) ≥ 40 mIU/mL post-HCT. All males had normal testosterone levels, but 63.6% had elevated FSH levels suggestive of impaired spermatogenesis post-HCT. Parent-proxies (for patients < 18 years old) and patients ≥ 18 years old completed surveys 9.0 years (5.2) and 7.9 years (9.3) since HCT in females and males respectively. Twenty five percent of parent-proxies and 45% of patients reported that they had not been informed by a healthcare provider of the risk of infertility post-transplant. There are high rates of gonadal dysfunction post-HCT, but many parent-proxies and patients do not recall being told of the risk for future infertility. More effective methods of education are warranted to ensure SCD patients and their families clearly understand the risk for reproductive health issues post-HCT.

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)0.008
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 score0.007
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.005
GPT teacher head0.235
Teacher spread0.230 · 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

Citations4
Published2024
Admission routes1
Has abstractno

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