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Record W4393042808 · doi:10.14740/wjon1778

Significance of Pretreatment Hemoglobin-Albumin-Lymphocyte-Platelet Index for the Prediction of Suboptimal Surgery in Epithelial Ovarian Cancer

2024· article· en· W4393042808 on OpenAlexvenueno aff
Thiti Atjimakul, Nungrutai Saeaib, Thara Tunthanathip, Paramee Thongsuksai

Bibliographic record

VenueWorld Journal of Oncology · 2024
Typearticle
Languageen
FieldMedicine
TopicInflammatory Biomarkers in Disease Prognosis
Canadian institutionsnot available
FundersFaculty of Medicine, Prince of Songkla UniversityPrince of Songkla University
KeywordsMedicineConfidence intervalInternal medicineReceiver operating characteristicOvarian cancerLogistic regressionProportional hazards modelOncologyCancerSurgery

Abstract

fetched live from OpenAlex

Background: Epithelial ovarian cancer (EOC) is the leading cause of death in gynecological cancers in developed countries. In recent years, there has been a growing need for economical and accurate pretreatment laboratory investigations to assess the prognosis of patients with advanced EOC (AEOC). We aimed to investigate the role of the hemoglobin-albumin-lymphocyte-platelet (HALP) index in suboptimal cytoreduction and oncological outcomes. Methods: A prognostic prediction model for diagnosing suboptimal cytoreduction for patients with AEOC receiving neoadjuvant chemotherapy (NACT) was developed. Multivariate logistic regression analysis was performed to identify the independent predictors of suboptimal cytoreduction, with a P-value < 0.05, and then transformed into risk-scoring systems. Internal validation was performed using the bootstrapping procedure, and predictive cytoreduction (PSC) scores were compared using non-parametric receiver operating characteristic (ROC) regression. Survival analysis was performed using Kaplan-Meier estimation and Cox proportional regression. Results: In total, 473 patients were analyzed, and the rate of suboptimal surgery was 43%. A scoring system in predicting suboptimal cytoreduction included age, cancer antigen (CA)-125 level before surgery, performance status, cycles of chemotherapy, peritoneal cancer index, and HALP index ≤ 22.6. The model had good discriminative ability (area under the ROC (AUROC), 0.80; 95% confidence interval (CI), 0.76 - 0.84), outperforming the PSC score (AUROC, 0.75; 95% CI, 0.71 - 0.80). The score was divided into the low-risk (positive predictive value (PPV), 22.4; 95% CI, 17.8 - 27.7), moderate-risk (PPV, 65.9; 95% CI, 56.9 - 74.0), and high-risk (PPV, 90.6; 95% CI, 79.3 - 96.9) groups. The HALP index score of ≤ 22.6 was independently associated with progression-free survival (hazard ratio (HR), 2.92; 95% CI, 1.58 - 5.40) and overall survival (HR, 2.66; 95% CI, 1.57 - 4.49). Conclusion: The HALP index is a newly predicted factor for suboptimal cytoreduction and oncological outcomes in patients with AEOC after NACT.

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)0.001
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.369
Threshold uncertainty score0.416

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
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 head0.027
GPT teacher head0.311
Teacher spread0.284 · 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

Citations6
Published2024
Admission routes1
Has abstractyes

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