2017
DOI: 10.1002/cncr.30775
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Hepatitis B virus screening and reactivation and management of patients with nasopharyngeal carcinoma: A large‐scale, big‐data intelligence platform–based analysis from an endemic area

Abstract: BACKGROUND: Chemotherapy, target therapy, and immunotherapy are increasingly being used in the systematic treatment of nasopharyngeal carcinoma (NPC), during which the occurrence of hepatitis B virus (HBV) reactivation might increase. However, data regarding HBV screening and reactivation and the clinical management of NPC patients with HBV infections are lacking. This study was aimed at clarifying the risk of reactivation for NPC patients on different regimens while providing evidence concerning HBV screening… Show more

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Cited by 47 publications
(60 citation statements)
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“…Patient demographics and diagnostic and therapeutic information were obtained from the intelligence platform using search terms including ‘diagnosis’, ‘histology type’, ‘age at first diagnosis’, ‘sex’, ‘disease stage’, ‘radiotherapy method’, ‘chemotherapy regimen’ and ‘EBV DNA’. A detailed description of this intelligence platform was presented in our previously published research . In brief, this novel ‘big data’ research system enables the automatic organization, integration, re‐structuring and updating of real‐time data from a number of clinical business systems, based on a well‐designed data model and algorithm.…”
Section: Methodsmentioning
confidence: 99%
“…Patient demographics and diagnostic and therapeutic information were obtained from the intelligence platform using search terms including ‘diagnosis’, ‘histology type’, ‘age at first diagnosis’, ‘sex’, ‘disease stage’, ‘radiotherapy method’, ‘chemotherapy regimen’ and ‘EBV DNA’. A detailed description of this intelligence platform was presented in our previously published research . In brief, this novel ‘big data’ research system enables the automatic organization, integration, re‐structuring and updating of real‐time data from a number of clinical business systems, based on a well‐designed data model and algorithm.…”
Section: Methodsmentioning
confidence: 99%
“…We employed a big‐data intelligence database, which has been described in detail previously (Yiducloud Technology, Beijing, China), at Sun Yat‐sen University Cancer Center to identify eligible patients between 2009 and 2013 (Figure ). Inclusion criteria were: (i) newly diagnosed non‐disseminated NPC; (ii) World Health Organization (WHO) pathology type II/III; (iii) Karnosfky performance score ≥70; (iv) receiving IMRT; (v) if receiving concurrent chemotherapy, single‐agent cisplatin only; (vi) weekly assessment of weight and biochemical profiles; and (vii) no other malignancies or previous radiotherapy or chemotherapy.…”
Section: Methodsmentioning
confidence: 99%
“…This retrospective study was based on the NPC-specific database from the big-data intelligence platform at Sun Yat-sen University Cancer Center (SYSUCC), that we introduced previously [19]. Totally, 7251 patients with newly diagnosed, non-disseminated, pathologically proven NPC undergoing IMRT-based strategies between April 2009 and December 2014 were identified; those with other malignancies, or incomplete sociodemographic and/or clinicopathologic data were excluded.…”
Section: Study Populationmentioning
confidence: 99%