Transparent reporting of a multivariable prediction model for individual prognosis or diagnosis (TRIPOD): the TRIPOD statement

Collins, Gary S.; Reitsma, Johannes B.; Altman, Douglas G.; Moons, Karel G.M.

doi:10.1136/bmj.g7594

Cited by 2,538 publications

(1,999 citation statements)

References 30 publications

(35 reference statements)

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“…The study follows the criteria from the “Transparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis” (TRIPOD) Initiative (checklist available upon request). 8 …”

Section: Methodsmentioning

confidence: 99%

International Validity of the HOSPITAL Score to Predict 30-Day Potentially Avoidable Hospital Readmissions

et al. 2016

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Section: Methodsmentioning

confidence: 99%

International Validity of the HOSPITAL Score to Predict 30-Day Potentially Avoidable Hospital Readmissions

et al. 2016

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“…We used the Transparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis (TRIPOD) guidelines 10 .…”

Section: Methodsmentioning

confidence: 99%

The incident tibiofemoral osteoarthritis with rapid progression phenotype: development and validation of a prognostic prediction rule

Riddle

Stratford

Perera

2016

Osteoarthritis and Cartilage

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Objectives No clinical prediction rules were found for estimating the likelihood of developing incident radiographic tibiofemoral osteoarthritis with rapid progression. Such a tool would enhance prognostic capability for clinicians and researchers. Design We used two longitudinal datasets to independently derive (Multicenter Osteoarthritis Study) and validate (Osteoarthritis Initiative) a prognostic clinical prediction rule for estimating the probability of incident rapidly progressing radiographic knee OA in the following 4-5 years. Eligible subjects had at least one knee with a Kellgren and Lawrence (K&L) graded tibiofemoral joint of 0 or 1. Several potential risk factors were examined including obesity, age, knee alignment, frequent knee symptoms, contralateral knee osteoarthritis and knee injury history. Multiple logistic regression was used to identify significant predictors and area under the receiver operating characteristic curve (AUC) was used to assess discrimination. Results A total of 1,690 subjects participated in the derivation and 2,422 subjects participated in the validation of the clinical prediction rule. The multivariable model displayed good discrimination with AUC of 0.79 in the derivation dataset and 0.81 in the validation dataset. Conclusions Persons with contralateral knee OA, a baseline index knee OA grade of 1, higher BMI and higher baseline WOMAC Total scores were more likely to develop K&L grades of 3 or 4 within 5 years. Frequent knee symptoms at baseline was not a significant predictor. The prediction rule and nomogram can assist clinicians in estimating the probability of rapidly progressing radiographic knee OA and the nomogram can assist researchers conducting epidemiologic studies and clinical trials.

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“…Informed consents from participants were also waived due to the complete anonymity of the patients. The study was conducted according to the TRIPOD statement13 and adhered to the Declaration of Helsinki for medical research involving human subjects14.…”

Section: Methodsmentioning

confidence: 99%

A nomogram improves AJCC stages for colorectal cancers by introducing CEA, modified lymph node ratio and negative lymph node count

Zhang

Gao

Luo

et al. 2016

Sci Rep

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Lymph node stages (pN stages) are primary contributors to survival heterogeneity of the 7th AJCC staging system for colorectal cancer (CRC), indicating spaces for modifications. To implement the modifications, we selected eligible CRC patients from the Surveillance Epidemiology and End Results (SEER) database as participants in a training (n = 6675) and a test cohort (n = 6760), and verified tumor deposits to be metastatic lymph nodes to derive modified lymph node count (mLNC), lymph node ratio (mLNR), and positive lymph node count (mPLNC). After multivariate Cox regression analyses with forward stepwise elimination of the mLNC and mPLNC for the training cohort, a nomogram was constructed to predict overall survival (OS) via incorporating preoperative carcinoembryonic antigen, pT stages, negative lymph node count, mLNR and metastasis. Internal validations of the nomogram showed concordance indexes (c-index) of 0.750 (95% CI, 0.736–0.764) and 0.749 before and after corrections for overfitting. Serial performance evaluations indicated that the nomogram outperformed the AJCC stages (c-index = 0.725) with increased accuracy, net benefits, risk assessment ability, but comparable complexity and clinical validity. All the results were reproducible in the test cohort. In summary, the proposed nomogram may serve as an alternative to the AJCC stages. However, validations with longer follow-up periods are required.

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Transparent reporting of a multivariable prediction model for individual prognosis or diagnosis (TRIPOD): the TRIPOD statement

Cited by 2,538 publications

References 30 publications

International Validity of the HOSPITAL Score to Predict 30-Day Potentially Avoidable Hospital Readmissions

International Validity of the HOSPITAL Score to Predict 30-Day Potentially Avoidable Hospital Readmissions

The incident tibiofemoral osteoarthritis with rapid progression phenotype: development and validation of a prognostic prediction rule

A nomogram improves AJCC stages for colorectal cancers by introducing CEA, modified lymph node ratio and negative lymph node count

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