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Record W4409677197 · doi:10.1097/mph.0000000000003039

Second Malignant Neoplasms in Long-term Retinoblastoma Survivors: Retrospective Cohort Study of 491 Patients in Turkey

2025· article· en· W4409677197 on OpenAlexaff
Eren Müngen, İrem Koç, Hayyam Kıratlı, Ali Varan

Bibliographic record

VenueJournal of Pediatric Hematology/Oncology · 2025
Typearticle
Languageen
FieldMedicine
TopicOcular Oncology and Treatments
Canadian institutionsPediatric Oncology Group
Fundersnot available
KeywordsMedicineRetinoblastomaEnucleationChemotherapyInternal medicineCohortPediatricsRetrospective cohort studyOncologyPopulationRadiation therapySurgery

Abstract

fetched live from OpenAlex

BACKGROUND: It has been reported that the risk of second malignant neoplasms (SMNs) in long-term follow-up patients with heritable retinoblastoma (Rb) is significantly increased compared with patients with non-heritable Rb and the general population. In this study, we investigated the types, frequencies, clinical and pathologic features, potential risk factors, and outcomes of SMNs occurring in a large group of retinoblastoma patients that were diagnosed, treated, and followed up for a long time in our Pediatric Oncology unit. METHODS: Our study comprehensively analyzed records of Rb patients followed up at Hacettepe University Pediatric Oncology Department over a 51-year period from January 1972 to January 2023. We determined the number, rate, and time of diagnosis of various SMN types and investigated potential risk factors that could lead to the development of SMNs. RESULTS: A total of 491 patients were included in this study. Median age at the time of retinoblastoma diagnosis was 1.25 (range, 0.02 to 12.08) years. Of these cases, 313 (63.7%) were unilateral, 174 (35.4%) were bilateral, and 4 (0.9%) were trilateral Rb. Enucleation was performed in 348 (70.9%) cases. A total of 334 cases received systemic chemotherapy with different protocols. Intra-arterial chemotherapy (IAC) was administered in 101 (20.6%) patients. Radiotherapy was administered in 76 (15.5%) patients. After enucleation, 56 (11.4%) patients were followed up without further treatment. SMNs occurred in 13 (2.6%) of 491 patients. Among these, 9 (69.2%) patients were considered as having heritable Rb. Enucleation was performed in 10 cases. Only 1 patient received radiotherapy and 12 patients received systemic chemotherapy. Most common subtype of SMNs was osteosarcoma (n=7; 53.8%), followed by acute myeloid leukemia (AML) (n=3; 23.1%), acute lymphoblastic leukemia (ALL) (n=1; 7.7%), Wilms tumor (n=1; 7.7%), and colon adenocarcinoma (n=1; 7.7%). The median time from the diagnosis of Rb to the onset of SMN was 136 (range, 24 to 250) months. Among the patients that underwent IAC, no patient developed SMN. Of the 491 patients, 41 (8.3%) died and 450 are still alive. Of the 13 patients with SMN, 8 (61.5%) died and 5 are still alive. Five-year OS of our study group was 91% and it was significantly lower in patients with SMNs compared with those without SMNs ( P =0.001). CONCLUSION: In this study, overall survival (OS) was lower in patients with bilateral retinoblastoma compared with unilateral cases, and similarly reduced in patients who received radiotherapy compared with those who did not. In addition, the development of second malignant neoplasms (SMNs) was significantly higher in hereditary retinoblastoma patients than in non-hereditary cases. These findings highlight the importance of careful long-term monitoring and tailored follow-up strategies in patients at increased risk.

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)0.001
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 score0.009
Threshold uncertainty score0.017

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.000
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 head0.008
GPT teacher head0.300
Teacher spread0.293 · 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
Published2025
Admission routes1
Has abstractyes

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