Evidence map›Paper›PMID 40794812›Full record

ArticlePLoS neglected tropical diseases2025

Long-term clinical sequelae in severe fever with thrombocytopenia syndrome: A longitudinal cohort study.

Ning Cui, Xin Yang, Hong-Han Ge, Xiao-Hong Yin, Yi-Mei Yuan, Chao Zhou, Xi Wang, Hai-Feng Pan, Hao Li, Xiao-Ai Zhang and 4 more

Abstract read
In one paragraph

Article in PLoS neglected tropical diseases, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Review
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors.

Ning CuiThe 154th Hospital, China RongTong Medical Healthcare Group Co.Ltd, Xinyang, China.
Xin YangState Key Laboratory of Pathogen and Biosecurity, Academy of Military Medical Science, Beijing, China.
Hong-Han GeSchool of Public Health, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, China.
Xiao-Hong YinState Key Laboratory of Pathogen and Biosecurity, Academy of Military Medical Science, Beijing, China.
Yi-Mei YuanThe 154th Hospital, China RongTong Medical Healthcare Group Co.Ltd, Xinyang, China.
Chao ZhouThe 154th Hospital, China RongTong Medical Healthcare Group Co.Ltd, Xinyang, China.
Xi WangSchool of Public Health, Anhui Medical University, Hefei, China.
Hai-Feng PanSchool of Public Health, Anhui Medical University, Hefei, China.
Hao LiState Key Laboratory of Pathogen and Biosecurity, Academy of Military Medical Science, Beijing, China.
Xiao-Ai ZhangState Key Laboratory of Pathogen and Biosecurity, Academy of Military Medical Science, Beijing, China.
Li-Qun FangState Key Laboratory of Pathogen and Biosecurity, Academy of Military Medical Science, Beijing, China.
Li-Fen HuThe First Affiliated Hospital of Anhui Medical University, Hefei, China.
Peng-Tao BaoThe Eighth Medical Center of Chinese PLA General Hospital, Pulmonary and Critical Care Medicine Faculty of Chinese PLA General Hospital, Beijing, China.
Wei LiuState Key Laboratory of Pathogen and Biosecurity, Academy of Military Medical Science, Beijing, China.ORCID 0009-0001-6937-2430

Funding

National Natural Science Foundation of China
6 · The paper itself

Abstract

backgroundSevere fever with thrombocytopenia syndrome (SFTS) is an emerging tick-borne infectious disease characterized by a high case fatality rate. Despite extensive research on acute-phase manifestations, the long-term clinical sequelae in survivors remain poorly characterized.

methodsIn this prospective cohort study from 2010 to 2024, 1,197 SFTS survivors and 188 age/sex-matched febrile controls without SFTS were enrolled from the highest endemic region in China. Participants underwent face-to-face interview, serial clinical evaluations and laboratory testing at 6, 12, 18 and 24 months post-discharge, with extended follow-up for a subset (n = 294) over 11 years. Propensity score matching and multivariate logistic regression were used to determine the factors associated with long-term sequelae risk.

resultsA total of 62.57% (749/1,197) of survivors developed persistent sequelae, significantly higher than controls (51.60%, 97/188; P < 0.05). Key manifestations included memory impairment (33.50%, 401/1,197), arthralgia (33.08%, 396/1,197), alopecia (32.25%, 386/1,197) and visual decline (31.08%, 372/1,197). Laboratory abnormalities persisted for ≥10 years in 0.33% of survivors, notably thrombocytopenia, elevated lactate dehydrogenase, and cystatin C. Compared to non-SFTS group, a significantly higher proportion of SFTS survivors had decreased white blood cell count, eosinophil percentage and mean corpuscular hemoglobin. The long-term sequelae risk exhibited distinct patterns across factors: encephalitis development was associated with significantly higher risks of memory impairment (adjusted OR = 2.39) and thrombocytopenia (adjusted OR = 3.36); corticosteroid usage during hospitalization showed increased risks of arthralgia (adjusted OR=2.17) and elevated BUN (adjusted OR=3.87); while high viral load (≥1 × 106 copies/mL) exhibited significantly higher incidences of most prevalent clinical manifestations and multiple laboratory abnormalities (all P < 0.05).

conclusionSFTS survivors exhibit multisystemic sequelae, with high viral load and acute-phase neurological involvement serving as critical prognostic indicators. These findings underscore the need for long-term monitoring and targeted therapeutic strategies for SFTS.

Indexed as

Severe Fever with Thrombocytopenia SyndromeAdultAgedArthralgiaChinaFemaleHumansLongitudinal StudiesMaleMiddle AgedProspective StudiesSurvivorsYoung Adult

Identifiers

PMID40794812
PMCPMC12360653

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.