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Record W2239258930 · doi:10.3171/2015.8.spine15674

The 100 most-cited articles in spinal oncology

2016· article· en· W2239258930 on OpenAlexaboutno aff
Rafael De la Garza Ramos, Mario Benvenutti-Regato, Enrique Caro-Osorio

Bibliographic record

VenueJournal of Neurosurgery Spine · 2016
Typearticle
Languageen
FieldMedicine
TopicManagement of metastatic bone disease
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineNeurosurgeryRadiation oncologyMEDLINEEvidence-based medicineFamily medicineNeurologyBibliometricsInternal medicineOncologyGeneral surgeryAlternative medicineLibrary scienceSurgeryRadiation therapyPathologyPsychiatry

Abstract

fetched live from OpenAlex

OBJECTIVE The authors' objective was to identify the 100 most-cited research articles in the field of spinal oncology. METHODS The Thomson Reuters Web of Science service was queried for the years 1864-2015 without language restrictions. Articles were sorted in descending order of the number of times they were cited by other studies, and all titles and abstracts were screened to identify the research areas of the top 100 articles. Levels of evidence were assigned on the basis of the North American Spine Society criteria. RESULTS The authors identified the 100 most-cited articles in spinal oncology, which collectively had been cited 20,771 times at the time of this writing. The oldest article on this top 100 list had been published in 1931, and the most recent in 2008; the most prolific decade was the 1990s, with 34 articles on this list having been published during that period. There were 4 studies with Level I evidence, 3 with Level II evidence, 9 with Level III evidence, 70 with Level IV evidence, and 2 with Level V evidence; levels of evidence were not assigned to 12 studies because they were not on therapeutic, prognostic, or diagnostic topics. Thirty-one unique journals contributed to the 100 articles, with the Journal of Neurosurgery contributing most of the articles (n = 25). The specialties covered included neurosurgery, orthopedic surgery, neurology, radiation oncology, and pathology. Sixty-seven articles reported clinical outcomes. The most common country of article origin was the United States (n = 62), followed by Canada (n = 8) and France (n = 7). The most common topics were spinal metastases (n = 35), intramedullary tumors (n = 18), chordoma (n = 17), intradural tumors (n = 7), vertebroplasty/kyphoplasty (n = 7), primary bone tumors (n = 6), and others (n = 10). One researcher had authored 6 studies on the top 100 list, and 7 authors had 3 studies each on this list. CONCLUSIONS This study identified the 100 most-cited research articles in the area of spinal oncology. The studies highlighted the multidisciplinary and multimodal nature of spinal tumor management. Recognition of historical articles may guide future spinal oncology research.

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)0.008
metaresearch head score (Gemma)0.047
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Bibliometrics
Consensus categoriesnone
DomainCandidate signal: Evaluation · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.992
Threshold uncertainty score0.042

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.047
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0030.003
Bibliometrics0.0860.063
Science and technology studies0.0020.001
Scholarly communication0.0060.003
Open science0.0020.002
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0120.004

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 head0.039
GPT teacher head0.324
Teacher spread0.286 · 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.

Study designObservational
DomainEvaluation
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

Citations50
Published2016
Admission routes1
Has abstractyes

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Same venueJournal of Neurosurgery SpineSame topicManagement of metastatic bone diseaseFrench-language works237,207