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Record W4365484687 · doi:10.1002/rmv.2446

Clinical manifestations of human Mpox infection: A systematic review and meta‐analysis

2023· review· en· W4365484687 on OpenAlexaboutno aff
Hyunju Yon, Hyoin Shin, Jae Il Shin, Jung U Shin, Youn Ho Shin, Jinseok Lee, Sang Youl Rhee, Ai Koyanagi, Louis Jacob, Lee Smith, Seung Won Lee, Masoud Rahmati, Suhana Ahmad, Wonyoung Cho, Dong Keon Yon

Bibliographic record

VenueReviews in Medical Virology · 2023
Typereview
Languageen
FieldImmunology and Microbiology
TopicPoxvirus research and outbreaks
Canadian institutionsnot available
FundersKorea Health Industry Development InstituteMinistry of Food and Drug Safety
KeywordsMedicineMeta-analysisConfidence intervalmyalgiaPublication biasCochrane LibraryInternal medicineMEDLINEChillsRashSystematic reviewPediatrics

Abstract

fetched live from OpenAlex

Abstract Little is known about the ongoing monkeypox (mpox) outbreak, and the clinical features of mpox in patients worldwide have not been rigorously analysed. Thus, we aimed to investigate the clinical features associated with mpox infection and understand the pathophysiology and characteristics of the disease. For this systematic review and meta‐analysis, we searched PubMed/MEDLINE, Embase, CINAHL, Google Scholar, and the Cochrane Database of Systematic Reviews for articles published till 16 September 2022. We used a random effects model to calculate the pooled prevalence and 95% confidence interval (CI). We used the I2 statistic to assess heterogeneity, Egger's test to assess publication bias, 95% prediction interval to determine the level of uncertainty, and the Newcastle‐Ottawa Scale and Joanna Briggs Institute quality assessment tool to assess the risk of bias. Twenty‐six relevant articles from 19 countries across 5 continents were included, and data on 5472 mpox patients with 18 unique features were analysed. The pooled prevalence of clinical features of mpox were rash (85.7%, 95% CI: 68.3–94.3; k = 21), chills (77.8%, 95% CI: 70.5–83.7; k = 3), and fever (62.3%, 95% CI: 51.3–71.6; k = 25), lymphadenopathy (58.6%, 95% CI: 47.2–69.2; k = 21), lethargy or exhaustion (46.8%, 95% CI: 30.7–63.5; k = 14), pruritus (40.6%, 95% CI: 28.5–54.0; k = 5), myalgia (36.0%, 95% CI: 24.3–49.7; k = 16), headache (34.6%, 95% CI: 23.4–47.8; k = 17), skin ulcer (31.1%, 95% CI: 18.6–47.1; k = 7), abdomen symptom (24.2%, 95% CI: 17.9–31.9; k = 11), pharyngitis (23.0%, 95% CI: 12.7–37.9; k = 14), respiratory symptom (19.5%, 95% CI: 6.8–44.6; k = 6), nausea or vomiting (13.0%, 95% CI: 4.6–31.9; k = 3), scrotal or penile oedema (10.7%, 95% CI: 6.3–17.7; k = 4), conjunctivitis (7.1%, 95% CI: 2.4–18.9; k = 6), and death (0.9%, 95% CI: 0.4–2.0; k = 26). This is the first international and comprehensive study to examine all clinical presentations of human mpox infection. Our systematic review proposes a comprehensive understanding of the current mpox outbreak and may serve as key data for future studies on the pathological mechanisms and epidemiology of mpox infections.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.013
metaresearch head score (Gemma)0.032
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.021
Threshold uncertainty score0.070

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0130.032
Meta-epidemiology (narrow)0.0030.002
Meta-epidemiology (broad)0.0210.037
Bibliometrics0.0060.008
Science and technology studies0.0010.001
Scholarly communication0.0030.002
Open science0.0020.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0050.000

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 head0.211
GPT teacher head0.501
Teacher spread0.291 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designMeta-analysis
Domainnot available
GenreReview

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

Citations59
Published2023
Admission routes1
Has abstractyes

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