Paper · 17569110
Evaluating the added predictive ability of a new marker: from area under the ROC curve to reclassification and beyond.
Pencina MJ and 3 others. Stat Med, 2008. Cited by 5,604 papers, by iCite.
11 sourcespapers-2026-11-12-0.1.0
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ConductScience Library. Evaluating the added predictive ability of a new marker: from area under the ROC curve to reclassification and beyond. Papers, record 17569110. Release papers-2026-11-12-0.1.0, 12 Nov 2026. https://conductscience.org/library/papers/17569110
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Paper
PubMed's record of the paper, with iCite's citation figures. No abstract is shown.
- Title
- Evaluating the added predictive ability of a new marker: from area under the ROC curve to reclassification and beyond.
- PubMed
Topics8
NLM's MeSH indexing of the paper, its major topics first.
| MeSH term | Major |
|---|---|
| Cardiovascular Diseases | Major topic |
| ROC Curve | Major topic |
| Risk Assessment | Major topic |
| Risk Factors | Major topic |
| Area Under Curve | |
| Humans | |
| Models, Statistical | |
| United States |
Source PubMed
Grants2
Each grant PubMed's record writes, matched to the NIH project NIH's grant and paper links name for this paper, and each of those links the record does not write.
| Grant, as the record writes it | Agency | Country | NIH project | Stated by | Source |
|---|---|---|---|---|---|
| 2 K24 HL04334 | NHLBI NIH HHS | United States | K24HL004334 | PubMed and NIH | NIH RePORTER |
| N01 HC25195 | NHLBI NIH HHS | United States | N01HC025195 | PubMed and NIH | NIH RePORTER |
Trials2
The trials whose ClinicalTrials.gov record lists the paper, and the trial numbers the paper's PubMed record names.
| Trial | Title | The trial lists it as | Named in the paper's record | Source |
|---|---|---|---|---|
| NCT06839963 | Kinshasa Lung Ultrasound Approach Validation | Background | ClinicalTrials.gov | |
| NCT07930429 | The MInimizing RIsk of CLotting Events Trial | Background | ClinicalTrials.gov |
Comments and corrections9
PubMed's comments and corrections, NLM's own indexing: retractions first, then expressions of concern, errata and updates, and comments last.
| Kind | PMID | Title | In Papers | Source |
|---|---|---|---|---|
| Comment in | 17,579,927 | Comments on 'Evaluating the added predictive ability of a new marker: From area under the ROC curve to reclassification and beyond' by M. J. Pencina, R. B. D'Agostino Sr, R. B. D'Agostino Jr, R. S. Vasan, Statistics in Medicine (DOI: 10.1002/sim.2929). | https://conductscience.org/library/papers/17579927 | PubMed |
| Comment in | 17,668,917 | Comments on 'Evaluating the added predictive ability of a new marker: From area under the ROC curve to reclassification and beyond' by M. J. Pencina et al., Statistics in Medicine (DOI: 10.1002/sim.2929). | https://conductscience.org/library/papers/17668917 | PubMed |
| Comment in | 17,671,958 | Comments on 'Evaluating the added predictive ability of a new marker: From area under the ROC curve to reclassification and beyond' by M. J. Pencina et al., Statistics in Medicine (DOI: 10.1002/sim.2929). | https://conductscience.org/library/papers/17671958 | PubMed |
| Comment in | 17,671,959 | Comments on 'Evaluating the added predictive ability of a new marker: From area under the ROC curve to reclassification and beyond' by M. J. Pencina et al., Statistics in Medicine (DOI: 10.1002/sim.2929). | https://conductscience.org/library/papers/17671959 | PubMed |
| Comment in | 17,712,782 | The need for reorientation toward cost-effective prediction: comments on 'Evaluating the added predictive ability of a new marker: From area under the ROC curve to reclassification and beyond' by Pencina et al., Statistics in Medicine (DOI: 10.1002/sim.2929). | https://conductscience.org/library/papers/17712782 | PubMed |
| Comment in | 17,729,377 | The need for reorientation toward cost-effective prediction: comments on 'Evaluating the added predictive ability of a new marker: From area under the ROC curve to reclassification and beyond' by M. J. Pencina et al., Statistics in Medicine (DOI: 10.1002/sim.2929). | https://conductscience.org/library/papers/17729377 | PubMed |
| Comment in | 17,907,248 | Net reclassification improvement and decision theory. | https://conductscience.org/library/papers/17907248 | PubMed |
| Comment in | 18,041,049 | Comments on 'Evaluating the added predictive ability of a new marker' by M. Pencina, R. D'Agostino, R. D'Agostino Jr, R. Vasan, Statistics in Medicine (DOI: 10.1002/sim.2929). | https://conductscience.org/library/papers/18041049 | PubMed |
| Comment in | 20,027,623 | Integrated discrimination improvement and probability-sensitive AUC variants. | https://conductscience.org/library/papers/20027623 | PubMed |
References0
The papers the reference list in PubMed's record names, those in our copy of PubMed, in the list's order.
None in this release.
Cited by3,137
The papers in our copy of PubMed whose reference list names this one, newest first. iCite, which reads more sources, counts 5,604 citations.
| PMID | Title | Journal | Year | In Papers | Source |
|---|---|---|---|---|---|
| 42,989,318 | Integrating machine learning and traditional statistics to evaluate the Uric acid-to-HDL cholesterol ratio for identification of prevalent COPD in older adults. | Lipids Health Dis | 2026 | https://conductscience.org/library/papers/42989318 | PubMed |
| 42,985,521 | Performance, Recalibration, and Implementation of In-Hospital Mortality Prediction Models for Myocardial Infarction. | Rev Cardiovasc Med | 2026 | https://conductscience.org/library/papers/42985521 | PubMed |
| 42,983,283 | Routine metabolic-adiposity indices and incident cardiometabolic multimorbidity among adults with CKM stages 0-3: a prospective cohort study. | BMC Cardiovasc Disord | 2026 | https://conductscience.org/library/papers/42983283 | PubMed |
| 42,978,645 | Associations of insulin resistance surrogates with cardiovascular disease in early stage cardiovascular-kidney-metabolic syndrome: a prospective cohort study. | Front Cardiovasc Med | 2026 | https://conductscience.org/library/papers/42978645 | PubMed |
| 42,973,573 | NLR-TyG index and prevalent chronic kidney disease in hypertension: a cross-population study. | Front Nutr | 2026 | https://conductscience.org/library/papers/42973573 | PubMed |
| 42,968,076 | Association between PCSK9 and post-stroke cognitive impairment: a retrospective cohort study and predictive models establishment based on machine learning. | BMC Neurol | 2026 | https://conductscience.org/library/papers/42968076 | PubMed |
| 42,966,860 | Cumulative estimated glucose disposal rate and longitudinal eGDR patterns in relation to incident cardiovascular disease among middle-aged and older adults with metabolic dysfunction-associated steatotic liver disease: a prospective cohort study. | Cardiovasc Diabetol | 2026 | https://conductscience.org/library/papers/42966860 | PubMed |
| 42,964,237 | K-CVD as the Best-Calibrated ASCVD Risk Equation Among Three Country-Specific Equations in 9,532 Chinese Adults: A 9-Year Real-World Validation From CHARLS With Decision Curve Analysis. | Cardiol Res | 2026 | https://conductscience.org/library/papers/42964237 | PubMed |
| 42,959,645 | Association between triglyceride high-density cholesterol-glucose body index and 28-day mortality in critically ill patients: a multicenter observational study in China. | Ann Intensive Care | 2026 | https://conductscience.org/library/papers/42959645 | PubMed |
| 42,958,482 | Metabolic score for visceral fat as a predictor of new-onset cardiovascular disease in patients with metabolic syndrome: a validation study in two prospective cohorts (UK Biobank and CHARLS). | BMC Cardiovasc Disord | 2026 | https://conductscience.org/library/papers/42958482 | PubMed |
1 to 10 of 3,137
See all 3,137 cited byGenes0
The genes the Gene search release ties to the paper: Swiss-Prot's references first, then PubTator's text mining.
None in this release.
Drugs0
The drugs whose trials, in the Pipelines release, list the paper.
None in this release.
Data0
The data bank entries PubMed's record names. Trial numbers are under Trials.
None in this release.
Data dates
The date of each source this release read.
- Trials
- 2026-11-12
- Gene search
- 2026-11-11
- Pipelines
- 2026-09-18
Sources 11
- ChEMBL, through Open TargetsCC BY-SA 3.0
- ClinicalTrials.govNo license stated
- HGNCCC0
- iCiteCC BY 4.0
- NCBI GenePublic domain (US government)
- NIH RePORTER's grant and paper linksPublic domain
- Open TargetsCC0 1.0
- PMC's ID filePublic domain (US government)
- PubMedNLM's terms
- PubTator 3Public domain
- UniProtCC BY 4.0
Each source's terms
- ChEMBL, through Open TargetsCC BY-SA 3.0, for the parts from ChEMBL. Read on 8 Nov 2026 at https://platform-docs.opentargets.org/licence
- ClinicalTrials.govnone stated
- HGNCCC0: https://www.genenames.org/about/license/
- iCiteCC BY 4.0
- NCBI GeneNone named for the file. NCBI says information created by or for the US government on its site is in the public domain, and asks that NLM be acknowledged: https://www.ncbi.nlm.nih.gov/home/about/policies/
- NIH RePORTER's grant and paper linksPublic domain (NIH RePORTER)
- Open TargetsCC0 1.0. Open Targets asks that users cite its latest paper: Buniello et al. 2025, Open Targets Platform: facilitating therapeutic hypotheses building in drug discovery, Nucleic Acids Research 53(D1):D1467, PMID 39657122. Read on 8 Nov 2026 at https://platform-docs.opentargets.org/licence
- PMC's ID fileNone named for the file. NCBI says information created by or for the US government on its site is in the public domain, and asks that NLM be acknowledged: https://www.ncbi.nlm.nih.gov/home/about/policies/
- PubMedNLM's terms
- PubTator 3Public domain
- UniProtCC BY 4.0. UniProt's licence file: "All databases and documents in the UniProt FTP directory may be copied and redistributed freely, without advance permission, provided that this copyright statement is reproduced with each copy." UniProt asks that users cite its latest paper: The UniProt Consortium, UniProt: the Universal Protein Knowledgebase in 2025, Nucleic Acids Research 53:D609-D617, https://doi.org/10.1093/nar/gkae1010. Read on 9 Nov 2026 at https://www.uniprot.org/help/license
ClinicalTrials.gov's data carry an international copyright outside the United States: https://clinicaltrials.gov/about-site/terms-conditions.
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