Evidence map›Paper›PMID 27169566›Full record

ArticleWorld journal of surgery2016

Validation of a Nomogram to Predict the Risk of Perioperative Blood Transfusion for Liver Resection.

Fabio Bagante, Gaya Spolverato, Andrea Ruzzenente, Ana Wilson, Faiz Gani, Simone Conci, Alexander Yahanda, Tommaso Campagnaro, Alfredo Guglielmi, Timothy M Pawlik

Abstract readMulticenter StudyValidation Study
PubMed Publisher
In one paragraph

Article in World journal of surgery, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
0.6field-weighted citation impact, top 34% 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

10 citing papers in PubMed, 22 citations in OpenAlex.

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  9. Intraoperative Blood Transfusion and Postoperative Morbidity Following Liver Resection.Medical science monitor : international medical journal of experimental and clinical research · 2018
    Article
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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

10 authors at 2 institutions in 2 countries.

Fabio BaganteDivision of Surgical Oncology, Department of Surgery, Johns Hopkins Hospital, 600 N. Wolfe Street, Blalock 688, Baltimore, MD, 21287, USA.
Gaya SpolveratoDivision of Surgical Oncology, Department of Surgery, Johns Hopkins Hospital, 600 N. Wolfe Street, Blalock 688, Baltimore, MD, 21287, USA.
Andrea RuzzenenteDepartment of Surgery, University of Verona, Verona, Italy.
Ana WilsonDivision of Surgical Oncology, Department of Surgery, Johns Hopkins Hospital, 600 N. Wolfe Street, Blalock 688, Baltimore, MD, 21287, USA.
Faiz GaniDivision of Surgical Oncology, Department of Surgery, Johns Hopkins Hospital, 600 N. Wolfe Street, Blalock 688, Baltimore, MD, 21287, USA.
Simone ConciDepartment of Surgery, University of Verona, Verona, Italy.
Alexander YahandaDivision of Surgical Oncology, Department of Surgery, Johns Hopkins Hospital, 600 N. Wolfe Street, Blalock 688, Baltimore, MD, 21287, USA.
Tommaso CampagnaroDepartment of Surgery, University of Verona, Verona, Italy.
Alfredo GuglielmiDepartment of Surgery, University of Verona, Verona, Italy.
Timothy M PawlikDivision of Surgical Oncology, Department of Surgery, Johns Hopkins Hospital, 600 N. Wolfe Street, Blalock 688, Baltimore, MD, 21287, USA. tpawlik1@jhmi.edu.
Johns Hopkins Hospital · USUniversity of Verona · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNomograms may be important clinical tools to estimate the preoperative risk of transfusion and allow for preemptive arrangements for alternatives to allogeneic blood transfusions.

methodsA multicentric international cohort of 1345 patients who underwent hepatectomy for benign or malign liver diseases was used to validate a nomogram developed by the Memorial Sloan-Kettering Cancer Center.

resultsA total of 449 (33.3 %) patients received a blood transfusion after hepatectomy. Several variables were associated with the need of transfusion on univariate analysis: age, BMI, hemoglobin, PT-INR, bilirubin, AST, ALT, GGT, albumin, primary liver cancer, and number of segments resected. The MSKCC nomogram, including the number of segments resected, diagnosis (primary vs. non-primary), extrahepatic organ resection, as well as platelet and hemoglobin levels, had a good predictive ability (AUC = 0.69). The frequency of patients transfused ranged from 19 % for patients who were at "low risk" (<20 % risk to be transfused) up to 68 % for patients at "high risk" (>70 % risk to be transfused). The nomogram was tested in a multivariable model including other factors associated with risk of transfusion. The final model included age (OR 1.02, 95 % CI 1.01-1.03, p < 0.001), PT-INR (OR 1.54, 95 % CI 1.01-2.36, p = 0.048), and bilirubin (OR 1.86, 95 % CI 1.09-3.18, p = 0.021). The prediction ability for the integrated prediction model was AUC = 0.73.

conclusionThe MSKCC nomogram was an effective clinical tool able to predict the perioperative risk of transfusion in our independent external validation. The inclusion of patient age, as well as factors associated with liver functional status (bilirubin and PT-INR), improved the predictive ability of the MSKCC nomogram.

Indexed as

Blood TransfusionNomogramsAgedAge FactorsBilirubinFemaleHepatectomyHumansInternational Normalized RatioLiver NeoplasmsMaleMiddle AgedPostoperative PeriodPredictive Value of TestsProthrombin TimeRisk AssessmentBilirubin

Identifiers

PMID27169566
OpenAlexW2359230731

What OpenQuestion holds

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Registered trials

None linked

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.