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Record W2187356926

Plasma free serotonin as a marker for early detection of breast cancer recurrence.

2014· article· en· W2187356926 on OpenAlexaff
Ana Fröbe, Lipa Čičin‐Šain, Glenn Jones, Željko Soldić, Josip Lukač, Ante Bolanča, Zvonko Kusić

Bibliographic record

VenuePubMed · 2014
Typearticle
Languageen
FieldMedicine
TopicCancer, Stress, Anesthesia, and Immune Response
Canadian institutionsCredit Valley HospitalUniversity of Toronto
Fundersnot available
KeywordsBreast cancerSerotoninMedicineInternal medicineCancerOncologyDiseaseMammary glandGastroenterologyEndocrinologyPathologyReceptor
DOInot available

Abstract

fetched live from OpenAlex

AIM: To evaluate the significance of plasma free serotonin (5-hydroxytryptamine) and Ca15.3 for the early detection of breast cancer recurrence. MATERIALS AND METHODS: Free serotonin and Ca15.3 levels were measured by I-125-Serotonin RIA (DDV Diagnostica, Marburg, Germany) in plasma and an ELISA kit (Roche Diagnostic GmbH, Mannheim, Germany) in serum, respectively in women (N=29) who responded to primary treatment for breast cancer and who were followed-up for recurrence. For analysis, patients were sub-divided according to TNM staging into groups with localized (T1-2N0-M0) and advanced (T1-2N1-2M0-1) disease. The control group were healthy blood donors. RESULTS: Patients with advanced disease had a significantly higher plasma serotonin level than those with localized disease or controls, whereas Ca15.3 levels remained in normal range in all groups. At the time of serotonin measurement, radiological findings were negative for all patients in the localized-disease group, but positive in nine patients in the advanced-disease group. CONCLUSION: Plasma free serotonin may be used for the early detection of recurrent/metastatic breast cancer disease, but validation on a larger number of patients is needed.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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: Empirical
Teacher disagreement score0.964
Threshold uncertainty score0.457

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.013
GPT teacher head0.236
Teacher spread0.224 · 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 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

Citations36
Published2014
Admission routes1
Has abstractyes

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