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Record W2305691551 · doi:10.7314/apjcp.2015.16.13.5587

Retraction Notice to: Normalization of CA19-9 Following Resection for Pancreatic Ductal Adenocarcinoma is not Tantamount to being Cured?

2015· retraction· en· W2305691551 on OpenAlexaff
Tao Chen, Min-Gui Zhang, Xianjun Yu, Liang Liu

Bibliographic record

VenueAsian Pacific Journal of Cancer Prevention · 2015
Typeretraction
Languageen
FieldMedicine
TopicPancreatic and Hepatic Oncology Research
Canadian institutionsPancreas Centre (Canada)
Fundersnot available
KeywordsPancreatic ductal adenocarcinomaNoticeNormalization (sociology)Pancreatic cancerMedicinePancreatic carcinomaInternal medicineCancerPolitical science

Abstract

fetched live from OpenAlex

At our request the paper entitled “Normalization of CA19-9 following resection for pancreatic ductal adenocarcinoma is not tantamount to being cured?” (Asian Pac J Cancer Prev, 16, 661-666) has been retracted. The reason was the authers found the mistake to review the patient’s medical records carelessly. Nonsecretors (CA19-9 < 5 U/mL) are likely to be Lewis a-b- antigen negative (Ann Surg Oncol 2013;20:2188-2196; Int J Cancer 2015; 136:22162227). Previous study has been demonstrated that CA19-9 nonsecretors underwent curative resection of pancreatic cancer had poor prognosis, and were analyzed as a separate group (Am J Clin Oncol 2014;37:550-554). Seventeen nonsecretors (0.8 U/ml to 5 U/mL, page 622, Table 1) need to be excluded from this study in our original project design. However, these patients were not excluded in our published paper (Asian Pac J Cancer Prev.2015;16:661-666.), and all the data need to be revised. As a result, the original conclusions have been compromised, especially in the patients with double-negative (postoperative CA19-9 ≤ 37 U/mL and no lymph node metastasis). We are so sorry for this mistake.

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

Direct model labels (unvalidated)

Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.

Model armCategoriesStudy designConfidence
gemmano category
Domain: not available · Genre: Other
About the Canadian research system: no · About a Canadian topic: no
Not applicablelow
gptMetaresearchResearch integrity
Domain: Evaluation · Genre: Commentary
About the Canadian research system: no · About a Canadian topic: no
Not applicablehigh
models splitAgreement compares identical category sets and study designs across arms.

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.180
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
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 head0.045
GPT teacher head0.404
Teacher spread0.359 · 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

Labeled directly by 2 models reading the full record.

MetaresearchResearch integrity

The models disagree on parts of this classification; every voice is preserved in the section at the end of the page.

Study designNot applicable
DomainEvaluation
GenreOther · Commentary

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

Citations0
Published2015
Admission routes1
Has abstractyes

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