A Versatile, Secure, and Sustainable All-in-One Biobank-Registry Data Solution: The A3BC REDCap Model

Willers, Craig; Lynch, T Sean; Chand, Vibhasha; Islam, Mohammad S.; Lassere, Marissa; March, Lyn

doi:10.1089/bio.2021.0098

Cited by 5 publications

(3 citation statements)

References 43 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This can be done by using a laboratory information management system software able to receive and integrate different types of information, from clinical to pathological and digital data. In literature, several valuable softwares have been used to implement biobank databases (Tukacs et al, 2012;Paul et al, 2017;Fthenou et al, 2019;Im et al, 2019), and some freeware can be obtained for biobank management (Voegele et al, 2013;Willers et al, 2021). A biobank consent form is another critical step in data acquisition and management (Beskow et al, 2017;Kinkorová et al, 2019;Kasperbauer et al, 2021;Schmanski et al, 2021).…”

Section: Discussionmentioning

confidence: 99%

Standard operating procedures for biobank in oncology

Bonizzi

Zattoni

Capra

et al. 2022

Front. Mol. Biosci.

View full text Add to dashboard Cite

Biobanks are biorepositories that collect, process, store, catalog, and distribute human biological samples, and record the associated data. The role and action field of these strategic infrastructures for implementing precision medicine in translational research is continuously evolving. To ensure the optimal quality at all stages of biobanking, specific protocols are required and should be elaborated according to updated guidelines, recommendations, laws, and rules. This article illustrates the standard operating procedures, including protocols, troubleshooting, and quality controls, of a fully certified biobank in a referral Cancer Center. This model involves all clinical departments and research groups to support the dual mission of academic cancer centers, i.e. to provide high-quality care and high-quality research. All biobanking activities based on the type of biological specimens are detailed and the most tricky methodological aspects are discussed, from patients’ informed consent to specimen management.

show abstract

Section: Discussionmentioning

confidence: 99%

Standard operating procedures for biobank in oncology

Bonizzi

Zattoni

Capra

et al. 2022

Front. Mol. Biosci.

View full text Add to dashboard Cite

show abstract

“…This system of medical record linkage has previously been shown to be accurate and reproducible. 14–16…”

Section: Methodsmentioning

confidence: 99%

“…This system of medical record linkage has previously been shown to be accurate and reproducible. [14][15][16] Patient comorbidities and in-hospital complications were classified using hospital administrative data (International Classification of Diseases, Tenth Revision, Australian Modification codes) and anesthesiologist-entered data from the anesthesia preassessment clinic as previously described. 17 Likewise, complications of interest were selected from a standardized list recommended by the Standardised Endpoints in Perioperative Medicine (StEP-COMPAC) working group and classified using the corresponding International Classification of Diseases, Tenth Revision codes.…”

Section: Data Source Participants and Outcomementioning

confidence: 99%

Predicting Death or Disability after Surgery in the Older Adult

et al. 2023

View full text Add to dashboard Cite

Background Older patients are vulnerable to developing new or worsening disability after surgery. Despite this, patient or surgical characteristics predisposing to postoperative disability are poorly defined. Our aim was to develop and validate a model, subsequently transformed to point-score form, to predict 6-month death or disability in older patients after surgery. Methods The authors built a prospective, single-center registry to develop and validate the prediction model. The registry included patients 70 years of age or older undergoing elective and non-elective, cardiac and non-cardiac surgery between 25 May 2017 to 11 February 2021, and combined clinical data from the electronic medical record, hospital administrative data (ICD-10 AM codes) and World Health Organization Disability Assessment Schedule (WHODAS) data collected directly from the patients. Death or disability was defined as being dead or having a WHODAS score ≥16%. Included patients were randomly divided into model development (70%) and internal validation (30%) cohorts. Once constructed, the logistic regression and point-score models were assessed using the internal validation cohort and an external validation cohort comprising data from a separate randomized trial. Results Of 2176 patients who completed the WHODAS immediately prior to surgery, 927 (43%) patients were disabled and 413 (19%) had significant disability. By 6 months after surgery, 1640 patients (75%) had data available for the primary outcome analysis. Of these patients 195 (12%) patients had died and 691 (42%) were dead or disabled. The developed point-score model included the preoperative WHODAS score, patient age, dementia, and chronic kidney disease. The point score model retained good discrimination in the internal (area under the curve 0.74, 95% CI 0.69 to 0.79) and external (area under the curve 0.77, 95% CI 0.74, 0.80) validation data sets. Conclusions We developed and validated a point score model to predict death or disability in older patients after surgery.

show abstract

Next Generation Biorepository Informatics: Supporting Genomics, Imaging, and Innovations in Spatial Biology

Rashid

Sadhu

et al. 2023

Health Informatics

View full text Add to dashboard Cite

A Versatile, Secure, and Sustainable All-in-One Biobank-Registry Data Solution: The A3BC REDCap Model

Cited by 5 publications

References 43 publications

Standard operating procedures for biobank in oncology

Standard operating procedures for biobank in oncology

Predicting Death or Disability after Surgery in the Older Adult

Next Generation Biorepository Informatics: Supporting Genomics, Imaging, and Innovations in Spatial Biology

Contact Info

Product

Resources

About