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Record W4415754670 · doi:10.4084/mjhid.2025.077

EVOLVING DISEASE SPECTRUM AND CHARACTERISTICS OF PEOPLE WITH HIV IN EASTERN CHINA: A 12-YEAR STUDY

2025· article· en· W4415754670 on OpenAlexaff
Ye Xiong, Bohao Dai, Dairong Xiang, Jean‐Pierre Routy, Biao Zhu

Bibliographic record

VenueMediterranean Journal of Hematology and Infectious Diseases · 2025
Typearticle
Languageen
FieldImmunology and Microbiology
TopicHIV Research and Treatment
Canadian institutionsMcGill University Health Centre
Fundersnot available
KeywordsDiseaseHuman immunodeficiency virus (HIV)ChinaDisease managementBroad spectrum

Abstract

fetched live from OpenAlex

Background Acquired immunodeficiency syndrome (AIDS) caused by human immunodeficiency virus (HIV) remains a serious public health problem. Opportunistic infections, and malignancies are the more frequent cause of hospitalization. We investigated hospitalized people with HIV (PWH) over the past 12 years, to determine the type and changing trends of the disease presentation in a large reference academic centre in Eastern China. Methods We evaluated a total of 2,140 hospitalized PWH from January 2010 to December 2021. Demographic, clinical and laboratory data, opportunistic infections, malignancies and in-hospital outcomes were collected and analyzed. Results Over time, the incidence of opportunistic infections has declined. Conversely, the incidence of malignancies has increased, and non-AIDS-defining cancers (NADCs) have occurred more frequently than ADCs. In 2020-2021, the incidence of NADCs became higher than that of opportunistic infections. The overall in-hospital mortality rate was 8.1%. and the in-hospital mortality gradually decreased over time. Opportunistic infections, malignancies, and CD4+T cell count were independent predictors for in-hospital mortality. Conclusion Our study provided a comprehensive description of the disease characteristics of PWH in eastern China over the past 12 years. The disease spectrum of PWH has undergone tremendous changes over time, highlighting the necessity of early HIV diagnosis and providing greater access to optimal treatment and management strategies. Keywords: HIV; Early Diagnosis; Changing treatments.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.439

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.007
GPT teacher head0.242
Teacher spread0.235 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations2
Published2025
Admission routes1
Has abstractyes

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