Evidence map›Paper›PMID 38545473›Full record

ArticleWorld journal of oncology2024

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

Thiti Atjimakul, Nungrutai Saeaib, Thara Tunthanathip, Paramee Thongsuksai

Open access · diamondAbstract read
In one paragraph

Article in World journal of oncology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
3.2field-weighted citation impact, top 9% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
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  3. Prognosis of subarachnoid hemorrhage determined by intracranial pressure thresholds.Journal of cerebrovascular and endovascular neurosurgery · 2025
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 1 institution in 1 country.

Thiti AtjimakulDepartment of Obstetrics and Gynecology, Faculty of Medicine, Prince of Songkla University, Songkhla 90110, Thailand.ORCID https://orcid.org/0000-0003-3460-8236
Nungrutai SaeaibDepartment of Obstetrics and Gynecology, Faculty of Medicine, Prince of Songkla University, Songkhla 90110, Thailand.ORCID https://orcid.org/0000-0002-8411-8975
Thara TunthanathipDepartment of Surgery, Division of Neurosurgery, Faculty of Medicine, Prince of Songkla University, Songkhla 90110, Thailand.ORCID https://orcid.org/0000-0002-6303-836X
Paramee ThongsuksaiDepartment of Pathology, Faculty of Medicine, Prince of Songkhla University, Hat Yai, Songkhla 90110, Thailand.ORCID https://orcid.org/0000-0003-4226-7988
Prince of Songkla University · TH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

HALP indexOvarian cancerPredictive modelSurvival

Identifiers

PMID38545473
PMCPMC10965264
OpenAlexW4393042808

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.