Evidence map›Paper›PMID 38950927›Full record

ArticleInternational journal of gynecological cancer : official journal of the International Gynecological Cancer Society2024

A pre-operative scoring model to estimate the risk of blood transfusion over an ovarian cancer debulking surgery (BLOODS score): a Memorial Sloan Kettering Cancer Center Team Ovary study.

Ryan M Kahn, Thomas Boerner, Michael Kim, Clarissa Lam, Sushmita Gordhandas, Effi Yeoshoua, Qin C Zhou, Alexia Iasonos, Ahmed Al-Niaimi, Ginger J Gardner and 6 more

Abstract read
In one paragraph

Article in International journal of gynecological cancer : official journal of the International Gynecological Cancer Society, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

16 authors.

Ryan M KahnGynecology Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, New York, USA.ORCID 0000-0002-5596-6238
Thomas BoernerGynecology Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, New York, USA.
Michael KimDepartment of Obstetrics and Gynecology, NewYork-Presbyterian Brooklyn Methodist Hospital, Brooklyn, New York, USA.ORCID 0000-0002-2813-2123
Clarissa LamGynecology Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, New York, USA.
Sushmita GordhandasGynecology Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, New York, USA.
Effi YeoshouaGynecology Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, New York, USA.
Qin C ZhouDepartment of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, New York, USA.
Alexia IasonosDepartment of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, New York, USA.
Ahmed Al-NiaimiGynecology Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, New York, USA.
Ginger J GardnerGynecology Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, New York, USA.ORCID 0000-0003-3955-3238
Kara Long RocheGynecology Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, New York, USA.
Yukio SonodaGynecology Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, New York, USA.
Oliver ZivanovicGynecology Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, New York, USA.
Rachel N GrishamDepartment of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York, USA.ORCID 0000-0002-8631-9324
Nadeem R Abu-RustumGynecology Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, New York, USA.ORCID 0000-0001-9689-1298
Dennis S ChiGynecology Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, New York, USA chid@mskcc.org.ORCID 0000-0002-3105-8913

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Hongbiao Carl Lekaye · 1985 to 2026
$347.4M
NCI NIH HHS P30 CA008748
6 · The paper itself

Abstract

objectivesTo develop a pre-operative tool to estimate the risk of peri-operative packed red blood cell transfusion in primary debulking surgery.

methodsWe retrospectively reviewed an institutional database to identify patients who underwent primary debulking surgery for ovarian cancer at a single center between January 1, 2001 and May 31, 2019. Receiver operating characteristic curve and area under the receiver operating characteristic curve (AUC) were calculated. Five-fold cross-validation was applied to the multivariate model. Significant variables were assigned a 'BLOODS' (BLood transfusion Over an Ovarian cancer Debulking Surgery) score of +1 if present. A total BLOODS score was calculated for each patient, and the odds of receiving a transfusion was determined for each score.

resultsOverall, 1566 patients met eligibility criteria; 800 (51%) underwent a peri-operative blood transfusion. Odds ratios (OR) were statistically significant for American Society of Anesthesiologists scores of 3 and 4 (OR 1.34, 95% confidence interval (95% CI) 1.09 to 1.63), pre-operative levels of cancer antigen 125 (CA125) (OR 2.43, 95% CI 1.98 to 2.99), platelets (OR 1.59, 95% CI 1.45 to 1.74), obesity (OR 0.76, 95% CI 0.60 to 0.96), presence of carcinomatosis (OR 2.45, 95% CI 1.93 to 3.11), bulky upper abdominal disease (OR 2.86, 95% CI 2.32 to 3.54), pre-operative serum albumin level (OR 0.31, 95% CI 0.24 to 0.40), and pre-operative hemoglobin level (OR 0.56, 95% CI 0.51 to 0.61). The corrected AUC was 0.748 (95% CI 0.693 to 0.804). BLOODS scores of 0 and 5 corresponded to 11% and 73% odds, respectively, of receiving a peri-operative blood transfusion.

conclusionsWe developed a universal pre-operative scoring system, the BLOODS score, to help identify patients with ovarian cancer who would benefit from surgical planning and blood-saving techniques. The BLOODS score was directly proportional to the American Society of Anesthesiologists score, presence of upper abdominal disease, carcinomatosis, CA125 level, and platelets level. We believe this model can help physicians with surgical planning and can benefit patient outcomes.

Indexed as

Cytoreduction Surgical ProceduresOvarian NeoplasmsAdultAgedBlood TransfusionFemaleHumansMiddle AgedRetrospective StudiesRisk AssessmentCytoreduction surgical proceduresOvarian CancerSurgical Oncology

Identifiers

PMID38950927
PMCPMC11237961

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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.