MétaCan
Menu
Back to cohort

Combined chemotherapy and radiotherapy (without surgery) compared with radiotherapy alone in localized carcinoma of the esophagus

2006· reference-entry· en· W4250526037 on OpenAlexaff
Rebecca Wong, Richard Malthaner

Post-publication record

NatureRetraction
ReasonWithdrawn as Out of Date;
Date1/20/2010 0:00
Flagged by OpenAlex?Yes

Source: Retraction Watch, joined by DOI. OpenAlex records retraction as is_retracted, a boolean over a state space with at least four values, so it cannot express an expression of concern, a correction or a reinstatement; it reports them as false, which reads as “fine”.

Bibliographic record

VenueCochrane Database of Systematic Reviews · 2006
Typereference-entry
Languageen
Field
Topic
Canadian institutionsWestern UniversityPrincess Margaret Cancer Centre
Fundersnot available
KeywordsMedicineJadad scaleConcomitantRadiation therapyRandomized controlled trialCochrane LibraryEsophagectomyRegimenSurgeryInternal medicineEsophagusEsophageal cancerOncologyCancer

Abstract

fetched live from OpenAlex

BACKGROUND: Esophageal carcinoma can be managed primarily with either a surgical or non-surgical radiotherapeutic approach. Combination chemotherapy (CT) and radiotherapy (RT) has been incorporated into clinical practice and applied increasingly, especially in North America. OBJECTIVES: To evaluate combined CT and RT (CTRT) versus RT alone in patients with localized esophageal carcinoma. Outcomes included overall survival, cause-specific survival, local recurrence, dysphagia relief, quality of life, acute and chronic toxicities. SEARCH STRATEGY: The Cochrane strategy for identifying randomized trials was combined with relevant MeSH headings. The Cochrane Library, MEDLINE, CancerLIT and EMBASE were last searched in April 2005. References from relevant articles and personal files were included. SELECTION CRITERIA: Randomized controlled trials in patients with localized esophageal cancer comparing RT alone with combined CTRT were included. Studies comparing non-chemotherapy agents such as pure radiotherapy sensitisers, immunostimulants, planned esophagectomy, were excluded. DATA COLLECTION AND ANALYSIS: Two reviewers extracted data independently. Trial quality was assessed using the Jadad scale and Detsky checklist. Sensitivity analyses were planned to examine the effect of concomitant versus sequential treatment, study quality, radiotherapy dose, and whether the drug regimen contained cisplatin or 5-fluorouracil were performed. MAIN RESULTS: Nineteen randomized trials were included, with eleven concomitant and eight sequential RTCT studies. Concomitant RTCT provided significant reduction in mortality with a harms ratio (HR) of 0.73 (95% confidence interval (CI) 0.64 to 0.84). Using an estimated mortality rate for the control group of 62% at year one and 83% at year two, the absolute survival benefit for RTCT was 9% (95% CI 5 to 12%) and 4% (95% CI 3 to 6%]) respectively. There was an absolute reduction of local recurrence rate of 12% (95% CI 3 to 22%), number needed to treat (NNT) of 9, when the local recurrence rate for the RT alone arm was 68%. This was associated with a significant risk of severe and life-threatening toxicities (number needed to harm (NNH)of 6). Sensitivity analyses did not identify any factors that interacted with the results. The results from sequential RTCT studies showed no significant benefit in survival or local control but significant toxicities. AUTHORS' CONCLUSIONS: Based on the available data, when a non-operative approach is selected then concomitant RTCT is superior to RT alone for patients with localized esophageal cancer but with significant toxicities. In patients who are in good general condition, and the risk benefit has been thoroughly discussed with the patient, concomitant RTCT should be considered for the management of esophageal cancer compared with radiotherapy alone.

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)0.006
metaresearch head score (Gemma)0.018
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.008
Threshold uncertainty score0.032

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.018
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0080.011
Bibliometrics0.0020.002
Science and technology studies0.0000.001
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0050.000

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 head0.050
GPT teacher head0.307
Teacher spread0.257 · 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 designSystematic review
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

Citations98
Published2006
Admission routes1
Has abstractyes

Explore more

Same venueCochrane Database of Systematic ReviewsFrench-language works237,207