{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,2]],"date-time":"2026-10-02T11:00:39Z","timestamp":1790938839028,"version":"4.1.0"},"reference-count":22,"publisher":"Becaris Publishing Limited","issue":"10","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["J. Comp. Eff. Res."],"published-print":{"date-parts":[[2026,10]]},"abstract":"<jats:p>\n                    <jats:bold>Aim:<\/jats:bold>\n                    To validate ConcertAI\u2019s All Source Composite Mortality Endpoint (ASCME), which combines information from electronic health records, obituary, government and administrative claims. To compare overall survival (OS) estimates using ASCME versus a National Death Index (NDI) dataset across clinical cohorts.\n                    <jats:bold>Materials &amp; methods:<\/jats:bold>\n                    Retrospective study of oncology real-world data, reporting sensitivity, specificity, positive predictive value and negative predictive value compared with the NDI standard, plus 5, 7 and 15-day concordance on date of death. Additional comparisons included Kaplan\u2013Meier OS measured by ASCME versus NDI. Data sources included ConcertAI\u2019s Patient360\u2122 dataset, and a 2022 annual finalized NDI dataset. The sample included cancer patients prevalent from 1 April 2014 to 31 December 2022 in any of 10 of ConcertAI\u2019s solid tumor-specific datasets.\n                    <jats:bold>Results:<\/jats:bold>\n                    Of 32,358 study patients, 14,241 (44.0%) were deceased as defined by an NDI true match. Sensitivity was 95.0% overall (an incremental 5.2% due to claims) and ranged from 92.7% to 97.8% across clinical cohorts. Overall specificity was 96.5%, with positive predictive value and negative predictive value of 95.8% each. ASCME's 5-day concordance was 97.9%, with 7-day and 15-day concordance of 98.2% and 99.1%, respectively. ASCME and NDI-based median OS estimates differed by 12.2\u00a0days among non-metastatic cohorts, and 4.5\u00a0days among metastatic cohorts.\n                    <jats:bold>Conclusion:<\/jats:bold>\n                    Results show ConcertAI\u2019s ASCME death indicator to provide high completeness and accuracy, producing OS estimates largely indistinguishable from NDI-based estimates. Findings show the importance of including claims in composite mortality indicators and demonstrate the value of real-world data in assessing OS outcomes in metastatic and non-metastatic cancer patient populations.\n                  <\/jats:p>","DOI":"10.57264\/cer-2025-0198","type":"journal-article","created":{"date-parts":[[2026,8,31]],"date-time":"2026-08-31T14:25:27Z","timestamp":1788186327000},"source":"Crossref","is-referenced-by-count":0,"title":["Validation of an all-source composite mortality endpoint in the US population"],"prefix":"10.57264","volume":"15","author":[{"given":"Yanina","family":"Natanzon","sequence":"first","affiliation":[{"name":"ConcertAI, LLC, Cambridge, MA 02138, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lukas","family":"Slipski","sequence":"additional","affiliation":[{"name":"ConcertAI, LLC, Cambridge, MA 02138, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mark S","family":"Walker","sequence":"additional","affiliation":[{"name":"ConcertAI, LLC, Cambridge, MA 02138, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"36897","reference":[{"key":"e_1_3_11_3_2","volume-title":"Establishing a framework to evaluate real-world endpoints","author":"Friends of Cancer Research","year":"2018","unstructured":"Friends of Cancer Research. 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