Evidence map›Paper›PMID 38201403›Full record

ArticleDiagnostics (Basel, Switzerland)2023

Explaining the Elusive Nature of a Well-Defined Threshold for Blood Transfusion in Advanced Epithelial Ovarian Cancer Cytoreductive Surgery.

Alexandros Laios, Evangelos Kalampokis, Marios-Evangelos Mamalis, Amudha Thangavelu, Yong Sheng Tan, Richard Hutson, Sarika Munot, Tim Broadhead, David Nugent, Georgios Theophilou and 2 more

Open access · goldAbstract read
In one paragraph

Article in Diagnostics (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact, top 62% 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

3 citing papers in PubMed, 0 citations in OpenAlex.

  1. Review
  2. Review
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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

12 authors at 2 institutions in 2 countries.

Alexandros LaiosDepartment of Gynaecologic Oncology, St James's University Hospital, Leeds LS9 7TF, UK.ORCID 0000-0002-4870-7393
Evangelos KalampokisDepartment of Business Administration, University of Macedonia, 54636 Thessaloniki, Greece.ORCID 0000-0003-4416-8764
Marios-Evangelos MamalisDepartment of Business Administration, University of Macedonia, 54636 Thessaloniki, Greece.ORCID 0009-0000-2680-0442
Amudha ThangaveluDepartment of Gynaecologic Oncology, St James's University Hospital, Leeds LS9 7TF, UK.
Yong Sheng TanDepartment of Gynaecologic Oncology, St James's University Hospital, Leeds LS9 7TF, UK.
Richard HutsonDepartment of Gynaecologic Oncology, St James's University Hospital, Leeds LS9 7TF, UK.ORCID 0000-0002-8963-5517
Sarika MunotDepartment of Gynaecologic Oncology, St James's University Hospital, Leeds LS9 7TF, UK.
Tim BroadheadDepartment of Gynaecologic Oncology, St James's University Hospital, Leeds LS9 7TF, UK.
David NugentDepartment of Gynaecologic Oncology, St James's University Hospital, Leeds LS9 7TF, UK.
Georgios TheophilouDepartment of Gynaecologic Oncology, St James's University Hospital, Leeds LS9 7TF, UK.
Robert-Edward JacksonDepartment of Anaesthesia, St James's University Hospital, Leeds LS9 7TF, UK.
Diederick De JongDepartment of Gynaecologic Oncology, St James's University Hospital, Leeds LS9 7TF, UK.ORCID 0000-0003-0081-674X
St James's University Hospital · GBUniversity of Macedonia · GR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There is no well-defined threshold for intra-operative blood transfusion (BT) in advanced epithelial ovarian cancer (EOC) surgery. To address this, we devised a Machine Learning (ML)-driven prediction algorithm aimed at prompting and elucidating a communication alert for BT based on anticipated peri-operative events independent of existing BT policies. We analyzed data from 403 EOC patients who underwent cytoreductive surgery between 2014 and 2019. The estimated blood volume (EBV), calculated using the formula EBV = weight × 80, served for setting a 10% EBV threshold for individual intervention. Based on known estimated blood loss (EBL), we identified two distinct groups. The Receiver operating characteristic (ROC) curves revealed satisfactory results for predicting events above the established threshold (AUC 0.823, 95% CI 0.76-0.88). Operative time (OT) was the most significant factor influencing predictions. Intra-operative blood loss exceeding 10% EBV was associated with OT > 250 min, primary surgery, serous histology, performance status 0, R2 resection and surgical complexity score > 4. Certain sub-procedures including large bowel resection, stoma formation, ileocecal resection/right hemicolectomy, mesenteric resection, bladder and upper abdominal peritonectomy demonstrated clear associations with an elevated interventional risk. Our findings emphasize the importance of obtaining a rough estimate of OT in advance for precise prediction of blood requirements.

Indexed as

blood transfusioncomplete cytoreductionepithelial ovarian cancerestimated blood lossestimated blood volumeexplainable artificial intelligenceintra-operative mappingmachine learning

Identifiers

PMID38201403
PMCPMC10795734
OpenAlexW4390466040

What OpenQuestion holds

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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.