This article appears in Science Advances (Sci Adv) as a multicenter study titled Dynamic prediction of HIV-related incomplete immune reconstitution: A multicenter, large cohort study using advanced joint modeling. The PubMed entry provides the following bibliographic details: Sci Adv. 2026 Aug 7;12(32):eaeb2781. DOI 10.1126/sciadv.aeb2781. The paper was made available online (Epub) on 2026 Aug 5. PubMed identifier (PMID) is 42555735.
The article title indicates the study's primary focus: development of a dynamic prediction approach for HIV-related incomplete immune reconstitution using advanced joint modeling techniques within a multicenter, large cohort. The PubMed record confirms these high-level aims in the title but does not provide the article abstract or further detail on the specific predictive goals, candidate predictors, or the time horizon for prediction.
The PubMed page lists multiple authors, led by Fang Liu, with many coauthors including Hanxi Zhang, Xi Wang, Jinsong Huang, and others. Affiliations are provided for each author and include: Xixi Hospital Biobank and Clinical Data Resource Center (Hangzhou), Department of Laboratory Medicine, Tongren Hospital (Shanghai Jiao Tong University), WHO Collaborating Center for Comprehensive Management of HIV Treatment and Care (Beijing Ditan Hospital), Infection Center Clinic (Beijing You'an Hospital), Clinical Data and Sample Repository (Dalian Public Health Clinical Center), Clinical Center of HIV/AIDS (Beijing Ditan Hospital), and the Chinese Association of STD and AIDS Prevention and Control, among others. These multiple institutional affiliations support the designation of a multicenter collaboration.
The PubMed entry indicates that the study used advanced joint modeling and that it was conducted in a large cohort across multiple centers. No additional methodological details—such as cohort size, study period, inclusion/exclusion criteria, measurements (for example CD4 counts or viral load), statistical model specification, handling of longitudinal and survival components, validation approach, or software used—are provided on the PubMed summary page.
The PubMed record visible here does not include the abstract text or any summary of the study's findings. Key outcome information—such as incidence or prevalence of incomplete immune reconstitution, predictors retained in the final joint model, model discrimination and calibration metrics, or clinical utility assessments—are not reported on this page. Similarly, no conclusions, effect estimates, performance statistics, or recommended clinical actions are included in the PubMed metadata.
From the title, the work aims to produce a dynamic predictive tool relevant to clinicians managing people with HIV who are at risk for incomplete immune reconstitution despite treatment. However, because the PubMed entry lacks the abstract and full-text summary, no evidence-based implications can be extracted here. Clinicians and researchers interested in applying or evaluating the predictive model should obtain and review the full Sci Adv article to examine: cohort characteristics, predictor definitions, model development and validation, performance metrics (for example discrimination and calibration), and any proposed clinical decision thresholds or implementation considerations.
The PubMed entry provides the DOI 10.1126/sciadv.aeb2781 and the PMID 42555735. To review complete methods, results, tables, figures, and authors' interpretations, access the article through Sci Adv or via institutional subscription, DOI link, or PubMed's full-text links if available. The PubMed page in this capture does not include the abstract text; therefore, consult the journal site or library resources to retrieve the full manuscript for definitive details.
Note on source limitations
All statements above are drawn from the PubMed entry metadata. Specific numeric results, model parameters, and clinical recommendations were not present on the PubMed summary page used as the source for this rewrite. Those details were not reported in the source and must be obtained from the full article.