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Record W2079817420 · doi:10.5230/jgc.2015.15.1.10

Comparison of International Guidelines on the Accompanying Therapy for Advanced Gastric Cancer: Reasons for the Differences

2015· review· en· W2079817420 on OpenAlexaboutno aff
Katrin Bauer, Marcel Schroeder, Franz Porzsolt, Doris Henne‐Bruns

Bibliographic record

VenueJournal of the Korean Gastric Cancer Association · 2015
Typereview
Languageen
FieldMedicine
TopicGastric Cancer Management and Outcomes
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineCancerMEDLINEAdjuvant chemotherapyPerioperativeSystematic reviewComparabilityFamily medicineIntensive care medicineGeneral surgeryInternal medicineSurgeryBreast cancer

Abstract

fetched live from OpenAlex

The purpose of this study was to determine if international guidelines differ in their recommendations concerning additive therapy for advanced, but potentially curable, gastric cancer. A systematic search of the English and German literature was conducted in the databases Medline, Cochrane Database, Embase, and PubMed. The search terms used were 'guidelines gastric cancer,' 'guidelines stomach cancer,' and 'Leitlinien Magenkarzinom.' Six different guidelines published after January 1, 2010, in which the tumors were classified according to the seventh edition of the TNM system (2010), were identified. Although the examined guidelines were based on the same study results, their recommendations concerning accompanying therapy for gastric cancer differ considerably. While perioperative chemotherapy is recommended in Germany, Great Britain, and large parts of Europe, postoperative adjuvant radiochemotherapy or perioperative chemotherapy is recommended in the USA and Canada. In Japan, postoperative adjuvant chemotherapy is recommended.The results of identical studies were interpreted differently in different countries. Since considerable effort is required for each country to separately test relevant studies for their validity and suitability, an international cooperation could simplify the creation of a common basis for guidelines and contribute to improved comparability of international guidelines.

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)0.002
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.846
Threshold uncertainty score0.686

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.185
GPT teacher head0.454
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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreReview

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

Citations26
Published2015
Admission routes1
Has abstractyes

Explore more

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