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Record W2750409203 · doi:10.1093/neuonc/nox123

Intracystic interferon-alpha in pediatric craniopharyngioma patients

2017· letter· en· W2750409203 on OpenAlexaboutno aff
Sérgio Cavalheiro

Bibliographic record

VenueNeuro-Oncology · 2017
Typeletter
Languageen
FieldMedicine
TopicPituitary Gland Disorders and Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsCraniopharyngiomaAlpha interferonAlpha (finance)MedicineInterferonInternal medicineRadiologyVirologySurgery

Abstract

fetched live from OpenAlex

I read with great interest the paper by John-Paul Kilday et al.1 I congratulate the authors for retrospectively studying 56 patients with craniopharyngiomas from different continents and aged <18 years, a study supported by 2 reputed medical societies in oncology and pediatric neurosurgery, SIOPE and ISPN. However, the results raise some questions and concerns. First, of the 56 enrolled patients treated with intracystic interferon-alpha, 43 had already received other therapies. In our opinion, this affects the overall assessment of these patients. These 43 patients had already failed the primary treatment of choice and were therefore being treated with a second therapeutic modality (interferon-alpha). This calls into question the combined analysis of this group with treatment-naïve patients. In addition, I question why the authors called this treatment modality the “Toronto Protocol,” as this treatment protocol is not substantially different from the protocol that was originally published by Cavalheiro et al2 in 2005 and used to treat patients in São Paulo, Brazil.2,3 The São Paulo team was the first to use and report this treatment, subjecting patients to this new therapeutic modality. They also analyzed and published the cellular changes occurring during and after treatment4 and performed the first multicenter study involving 60 patients.3 I also believe that the authors could have harnessed the collaborative nature of their study and analyzed differences in subgroups of patients with craniopharyngioma that respond differently to distinct treatment modalities. They could also have investigated why the craniopharyngiomas that were not cured with radical surgery, radiotherapy, and/or other intracystic chemotherapy agents also respond poorly to intracystic interferon, as these patients constituted 77% of the total number of patients analyzed. Because some lesions disappeared after only one treatment cycle, the genetic hallmarks of these tumors should have been evaluated. The authors also did not clarify the criteria for new treatment cycles. It was unclear whether they evaluated only the increase in volume or also considered changes in the radiological characteristics of the cystic component. Because previous studies have not determined when interferon treatment should be halted and patients switched to another therapeutic modality, switching hastily may cause false-negative findings of drug efficacy. Because this was a retrospective study involving 21 different centers, the criteria for switching therapy were likely non-uniform. Furthermore, craniopharyngioma surgery after treatment with interferon is no more difficult than after radiotherapy or even after treatment with bleomycin. Following treatment with interferon, the capsule of the craniopharyngioma becomes much more evident, allowing its complete exeresis. A prospective study in treatment-naïve patients, with genomic and proteomic analyses of the fluid removed during the injections, and analyses of radiological modifications before and after interferon treatment, would be very welcome.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.050
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0000.001

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 head0.018
GPT teacher head0.288
Teacher spread0.271 · 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 designNot applicable
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

Citations6
Published2017
Admission routes1
Has abstractyes

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