Herpes zoster incidence and burden in older Chinese: a systematic review and meta-analysis
Bibliographic record
Abstract
BACKGROUND: Previous studies have documented variations in herpes zoster (HZ) incidence across regions and periods. We aimed to synthesize data on HZ incidence, complications, and associated healthcare costs (inpatient and outpatient) in the Chinese population aged 50 years and older over the last two decades. METHODS: We searched studies published in English between January 1, 2000, and March 31, 2023 in PubMed, Cochrane Library, Embase, EBSCO, OVID, and Web of Science, supplemented by Chinese databases CNKI, Wan Fang, CQVIP, and Yiigle. Main search terms included 'Herpes Zoster', 'Herpesvirus 3, Human', 'Neuralgia Postherpetic', 'incidence', 'morbidity', 'epidemiology', 'complication', 'health care cost', 'expenditure', 'economic', and 'burden'. The Agency for Healthcare Research and Quality tool and Newcastle-Ottawa Scale were used for quality assessment. RESULTS: Of 6,958 studies, 19 (73,044,981 total population) were included for analysis (1,107,682 HZ cases, mean age 63.03 ± 8.30 years, 47.10% male). The pooled annual HZ incidence from 13 studies (2 with high quality, 11 with medium quality) from 2000 to 2020 was 6.28 per 1000 PYs (95%CI: 5.42, 7.15), with a significant increasing trend over the period (meta-regression coefficient: 0.0031, 95%CI: 0.0027, 0.0036), and more pronounced among females and those with advancing age. Neuralgia system disorders were the most frequently reported complications, followed by ear and eye diseases. Furthermore, HZ-associated inpatient costs showed a 4.4-fold dramatic increases, rising from 3260 RMB in 2010-2012 to 14,303 RMB per patient in 2017-2018, while outpatient costs remained growth from 336 RMB to 1329 RMB. CONCLUSIONS: Despite the medium overall quality of the studies, our findings highlight an urgent need for effective public health strategies including vaccine aimed at reducing HZ incidence and associated healthcare costs in China.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.013 | 0.027 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.018 | 0.033 |
| Bibliometrics | 0.009 | 0.010 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".