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Record W2069362461 · doi:10.1002/cncr.22375

Second solid cancers after allogeneic hematopoietic stem cell transplantation

2006· article· en· W2069362461 on OpenAlexaff
Geneviève Gallagher, Donna L. Forrest

Bibliographic record

VenueCancer · 2006
Typearticle
Languageen
FieldMedicine
TopicHematopoietic Stem Cell Transplantation
Canadian institutionsVancouver General HospitalUniversity of British ColumbiaBC Cancer Agency
Fundersnot available
KeywordsMedicineTransplantationIncidence (geometry)Cumulative incidenceHematopoietic stem cell transplantationPopulationConfidence intervalInternal medicineMalignancyCancerSurgeryOncology

Abstract

fetched live from OpenAlex

BACKGROUND: The objective of this study was to establish the incidence and risk factors for the development of second solid cancers after allogeneic hematopoietic stem cell transplantation (allo-HSCT). METHODS: The authors reviewed the case files of 926 consecutive patients who underwent allo-HSCT at their institution between 1985 and 2003. RESULTS: Twenty-eight patients developed 30 solid malignancies at a median of 6.8 years after allo-HSCT (range, 0.12-17.3 years) for a 10-year cumulative incidence of 3.1% (95% confidence interval [95% CI], 2-5%; all solid tumors) and 2.3% (95% CI 1-4%; excluding basal cell carcinoma and carcinoma in situ). The risk ratio of developing a second solid malignancy after allografting, compared with the general population of British Columbia adjusted for age and sex, was 1.85 (95% CI, 1.04-3.06; P = .019). In multivariate analysis, recipient age at allo-HSCT >40 years (P = .005) and having a woman donor (P = .0008) were associated with a greater risk of developing a second solid cancer. CONCLUSIONS: The authors concluded that patients undergoing allografting are at increased risk of developing a second solid cancer compared with the general population, particularly those of advanced age at the time of allograft. It is noteworthy that patients who had women as graft donors had an increased risk for developing a second solid cancer. This unexpected finding is a new observation and has not been reported previously. Extended follow-up will be needed to assess more fully the incidence and risk factors for the development of solid cancers, because the latency can be prolonged.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.155
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.011
GPT teacher head0.257
Teacher spread0.246 · 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.

Study designBench or experimental
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

Citations93
Published2006
Admission routes1
Has abstractyes

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