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Record W1994510965 · doi:10.1002/cncr.10567

Squamous cell carcinoma of the oropharynx

2002· article· en· W1994510965 on OpenAlexaboutno aff
James T. Parsons, William M. Mendenhall, Scott P. Stringer, Robert J. Amdur, Russell W. Hinerman, Douglas B. Villaret, Giselle J. Moore‐Higgs, Bruce D. Greene, Tod W. Speer, Nicholas J. Cassisi, Rodney R. Million

Bibliographic record

VenueCancer · 2002
Typearticle
Languageen
FieldMedicine
TopicHead and Neck Cancer Studies
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineNeck dissectionSurgeryBasal cellRadiation therapySurvival analysisCarcinomaTongueCancerRandomized controlled trialInternal medicinePathology

Abstract

fetched live from OpenAlex

BACKGROUND: The treatment of patients with squamous cell carcinoma (SCC) of the oropharynx remains controversial. No randomized trial has addressed adequately the question of whether surgery (S), radiation therapy (RT), or combined treatment is most effective. METHODS: Treatment results from North American academic institutions that used S with or without adjuvant RT (S +/- RT) or used RT alone or followed by neck dissection (RT +/- ND) for patients with SCC of the tonsillar region or the base of tongue were compiled through a MEDLINE search (from 1970 to August, 2000) and from the references cited in each report. Studies were eligible for inclusion if they contained direct, actuarial (life-table), or Kaplan-Meier calculations for the following end points: local control, local-regional control, 5-year absolute survival, 5-year cause specific survival, or severe or fatal treatment complications. Weighted average results, which took into account series size, were calculated for each end point for the purposes of treatment comparison. Results and conclusions were based on data from 51 reported series, representing the treatment of approximately 6400 patients from the United States and Canada. RESULTS: The results for patients with SCC of the base of tongue who underwent S +/- RT versus RT +/- ND, respectively, were as follows: local control, 79% versus 76% (P = 0.087); local-regional control, 60% versus 69% (P = 0.009); 5-year survival, 49% versus 52% (P = 0.2); 5-year cause specific survival, 62% versus 63% (P = 0.4); severe complications, 32% versus 3.8% (P < 0.001); and fatal complications, 3.5% versus 0.4% (P < 0.001). The results for patients with SCC in the tonsillar region who underwent S +/- RT versus RT +/- ND, respectively, were as follows: local control, 70% versus 68% (P = 0.2); local-regional control, 65% versus 69% (P = 0.1); 5-year survival, 47% versus 43% (P = 0.2); 5-year cause specific survival, 57% versus 59% (P = 0.3); severe complications, 23% versus 6% (P < 0.001); and fatal complications, 3.2% versus 0.8% (P < 0.001). CONCLUSIONS: The information in this article provides a useful benchmark for evidence-based counseling of patients with SCC of the oropharynx. The rates of local control, local-regional control, 5-year survival, and 5-year cause specific survival were similar for patients who underwent S +/- RT or RT +/- ND, whereas the rates of severe or fatal complications were significantly greater for the S +/- RT group. Furthermore, available data on the functional consequences of treatment suggest the superiority of RT +/- ND. The authors conclude that RT +/- ND is preferable for the majority of patients with SCC of the oropharynx.

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)0.002
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.009
Threshold uncertainty score0.017

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.003
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
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 head0.033
GPT teacher head0.273
Teacher spread0.240 · 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

Citations468
Published2002
Admission routes1
Has abstractyes

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