See the published version of this preprint at BMC Cancer.
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Research article
Xueli Bai
Zhejiang University School of Medicine First Affiliated Hospital
Corresponding Author
License:
This work is licensed under a CC BY 4.0 License. Read Full License
Background
Although criteria for liver transplantation, such as the Milan criteria and Hangzhou experiences, have become popular, criteria to guide adjuvant therapy for patients with hepatocellular carcinoma after liver transplantation are lacking.
Methods
We collected data from all consecutive patients from 2012 to 2019 at three liver transplantation centers in China retrospectively. Univariate and multivariate analyses were used to analyze preoperative parameters, such as demographic and clinical data. Using data obtained in our center, calibration curves and the concordance Harrell’s C-indices were used to establish the final model. The validation cohort comprised the patients from the other centers.
Results
Data from 233 patients were used to construct the nomogram. The validation cohort comprised 36 patients. Independent predictors of overall survival (OS) were identified as HbeAg positive (P = 0.044), blood-type compatibility unmatched (P = 0.034), liver transplantation criteria (P = 0.003), and high MELD score (P = 0.037). For the validation cohort, to predict OS, the C-index of the nomogram was 0.874. Based on the model, patients could be assigned into low-risk (≥ 50%), intermediate-risk (30–50%), and high-risk (≤ 30%) groups to guide adjuvant therapy after surgery and to facilitate personalized management.
Conclusions
The OS in patients with hepatocellular carcinoma after liver transplantation could be accurately predicted using the developed nomogram.
Keywords
Hepatocellular carcinoma, Liver transplantation, Risk factors, Nomogram
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CURRENT STATUS: Published
View the published article at BMC Cancer.
Version 1
Posted 10 Jun, 2020
No community comments so far
Reviewer #4 agreed
On 06 Dec, 2020
Review #3 received
Received 22 Nov, 2020
Review #2 received
Received 05 Nov, 2020
Reviewer #3 agreed
On 31 Oct, 2020
Reviewer #2 agreed
On 30 Aug, 2020
Review #1 received
Received 27 Jul, 2020
Reviewer #1 agreed
On 10 Jul, 2020
Reviewers invited
Invitations sent on 02 Jul, 2020
Editor assigned
On 05 Jun, 2020
Submission checks complete
On 04 Jun, 2020
Editor invited
On 04 Jun, 2020
First submitted
On 03 Jun, 2020
Metrics
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PDF Downloads: ...
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See the published version of this preprint at BMC Cancer.
This is a preprint, a preliminary version of a manuscript that has not completed peer review at a journal. Research Square does not conduct peer review prior to posting preprints. The posting of a preprint on this server should not be interpreted as an endorsement of its validity or suitability for dissemination as established information or for guiding clinical practice.
Learn more about In Review
Research article
Xueli Bai
Zhejiang University School of Medicine First Affiliated Hospital
Corresponding Author
Badges
Prescreen
This manuscript passed our Prescreen assessment
Complete author information
Appropriate declaration statements
Potential risks to human health
Prescreen
Peer Review Timeline
CURRENT STATUS: Published
View the published article at BMC Cancer.
Version 1
Posted 10 Jun, 2020
No community comments so far
Reviewer #4 agreed
On 06 Dec, 2020
Review #3 received
Received 22 Nov, 2020
Review #2 received
Received 05 Nov, 2020
Reviewer #3 agreed
On 31 Oct, 2020
Reviewer #2 agreed
On 30 Aug, 2020
Review #1 received
Received 27 Jul, 2020
Reviewer #1 agreed
On 10 Jul, 2020
Reviewers invited
Invitations sent on 02 Jul, 2020
Editor assigned
On 05 Jun, 2020
Submission checks complete
On 04 Jun, 2020
Editor invited
On 04 Jun, 2020
First submitted
On 03 Jun, 2020
Metrics
Comments: 0
PDF Downloads: ...
HTML Views: ...
License:
This work is licensed under a CC BY 4.0 License. Read Full License
View the published article at BMC Cancer.
Background
Although criteria for liver transplantation, such as the Milan criteria and Hangzhou experiences, have become popular, criteria to guide adjuvant therapy for patients with hepatocellular carcinoma after liver transplantation are lacking.
Methods
We collected data from all consecutive patients from 2012 to 2019 at three liver transplantation centers in China retrospectively. Univariate and multivariate analyses were used to analyze preoperative parameters, such as demographic and clinical data. Using data obtained in our center, calibration curves and the concordance Harrell’s C-indices were used to establish the final model. The validation cohort comprised the patients from the other centers.
Results
Data from 233 patients were used to construct the nomogram. The validation cohort comprised 36 patients. Independent predictors of overall survival (OS) were identified as HbeAg positive (P = 0.044), blood-type compatibility unmatched (P = 0.034), liver transplantation criteria (P = 0.003), and high MELD score (P = 0.037). For the validation cohort, to predict OS, the C-index of the nomogram was 0.874. Based on the model, patients could be assigned into low-risk (≥ 50%), intermediate-risk (30–50%), and high-risk (≤ 30%) groups to guide adjuvant therapy after surgery and to facilitate personalized management.
Conclusions
The OS in patients with hepatocellular carcinoma after liver transplantation could be accurately predicted using the developed nomogram.
Figure 1
Figure 2
Figure 3
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