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Record W2754256645 · doi:10.1093/neuonc/nox147

Intracystic interferon-alpha in pediatric craniopharyngioma patients-reply

2017· letter· en· W2754256645 on OpenAlexaff
John-Paul Kilday, Ute Bartels

Bibliographic record

VenueNeuro-Oncology · 2017
Typeletter
Languageen
FieldMedicine
TopicPituitary Gland Disorders and Treatments
Canadian institutionsHospital for Sick Children
Fundersnot available
KeywordsCraniopharyngiomaAlpha interferonAlpha (finance)MedicineDermatologyInterferonImmunologyEndocrinologySurgery

Abstract

fetched live from OpenAlex

On behalf of all the contributors to the published article “Intracystic interferon-alpha in pediatric craniopharyngioma patients: an international multicenter assessment on behalf of SIOPE and ISPN,” Neuro-Oncology 2017;19(10):1398–1407, we would like to thank Dr Cavalheiro for his response to “Intracystic interferon-alpha in pediatric craniopharyngioma patients,” highlighting some important points which we hope to address below. We share Dr Cavalheiro’s view of risk when evaluating treatment among retrospective cohorts containing treatment-naïve and pretreated patients. However, this was precisely the rationale behind analyzing the cohort as published. The cohort was typically assessed in its entirety wherever the influence of previous therapy was deemed inconsequential—areas such as presenting features, symptom interval, and concordance with the recommended interferon treatment protocol, while clinical outcomes across the 56 children were based exclusively on physical evaluations prior to and following the completion of interferon therapy. Moreover, when assessing the comparative efficacy of intracystic interferon at delaying disease progression, treatment-naïve patients were removed from analysis. Progression rates following interferon were assessed across the entire cohort, rather than dividing patients according to specific treatments already received, as limited patient numbers did not allow statistically viable results. Nevertheless, the progression-free survival rate post interferon between treatment-naïve and pretreated patients was not significant (0.6 y [95% CI: 0.2–1 y] vs 1.2 y [95% CI: 0.7–1.1 y], P = 0.82; data not in manuscript). The guidance for intracystic interferon administration that was adhered to by all contributing centers in the analysis was defined as the Toronto protocol as it had followed the Toronto Hospital for Sick Children’s standard operating procedure. This published institutional protocol1 was selected, as it was deemed to demonstrate an increased level of detail for clinical users compared with previous descriptions of the technique, to thereby improve standardization of approach and reduce operator bias. This was specifically addressing technical issues of pretherapeutic imaging studies, volumes of cystic fluid aspirated prior to each therapy, and the use of a posttherapeutic saline flush solution. However, all contributing authors are the first to recognize that this more detailed guidance is derived from the published experiences of Dr Cavalheiro and the São Paulo group, whose findings were fundamental to its development—any suggestion otherwise was wholly unintended nor implied in the article, which indeed cites all 3 papers referenced by Dr Cavalheiro in his response.2–4 We thank Dr Cavalheiro for his suggestions highlighting the importance of analyzing patient subgroups according to preceding treatment modalities and lesional/fluid biology. We agree that performing survival analyses according to these subdivisions would have been interesting. However, performing such an analysis on a relatively small total cohort size was not feasible. We faced the challenge of historical retrospective data collection, spanning several years, from an array of global centers, each with a spectrum of scientific infrastructures allowing biological tumor analysis. Consequently, our remit was precise: through sharing the clinical experiences of these specialist treatment centers, to evaluate the efficacy of intracystic interferon in delaying or preventing both disease progression and the need for subsequent definitive therapy, along with evaluating toxicity and clinical outcomes following treatment. As can be seen in Supplementary Table S2, there was a large and varied range of preceding treatment modalities. To further subdivide these therapies according to lesional composition and subsequent biological strata and then perform a survival analysis across all data streams would result in an inability to draw sound statistical conclusions, and hence such analysis was dismissed. Likewise, the criteria for repeating a cycle of interferon therapy or indeed changing to another therapeutic modality was at the discretion of individual treating centers, and as Dr Cavalheiro states, such decisions were non-uniform. Typically, therapy was extended past 12 doses if a complete radiological response had not been achieved, while Supplementary Table S2 demonstrated the types of progression reported (most commonly new cysts and solid lesional growth) and the subsequent management strategies employed. Given we were only reporting the experiences of these contributing centers, it was beyond the scope of the study to clarify each center’s reasoning for the decisions made. Nevertheless, the suggestion that moving away from interferon hastily may cause false-negative findings of drug efficacy is well taken. Of the 10 cases progressing only as cystic reaccumulation, only 6 underwent a rechallenge with interferon. We thank Dr Cavalheiro for his considered suggestions and concur with several, as it again highlights the need for prospective international clinical trial work in this field, using randomized, sizable patient cohorts treated according to standardized protocols to evaluate many of the issues raised both in the published manuscript and in the response article.

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)0.015
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: none
GenreCandidate signal: Editorial · Consensus signal: none
Teacher disagreement score0.018
Threshold uncertainty score0.018

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.015
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0020.001
Scholarly communication0.0020.002
Open science0.0010.001
Research integrity0.0180.015
Insufficient payload (model declined to judge)0.0030.002

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 head0.017
GPT teacher head0.286
Teacher spread0.269 · 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 designCase report
Domainnot available
GenreEditorial

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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Citations4
Published2017
Admission routes1
Has abstractno

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