Article in Transboundary and emerging diseases, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
0numbers the graph read from it
0cells of the map it votes in
1citing 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.
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.
Yumeng LinAvian Immunosuppressive Diseases Division, State Key Laboratory of Animal Disease Control and Prevention, Harbin Veterinary Research Institute, The Chinese Academy of Agricultural Sciences, Harbin, 150069, China, caas.cn.ORCID https://orcid.org/0000-0002-7190-4010
Mingxue HuAvian Immunosuppressive Diseases Division, State Key Laboratory of Animal Disease Control and Prevention, Harbin Veterinary Research Institute, The Chinese Academy of Agricultural Sciences, Harbin, 150069, China, caas.cn.ORCID https://orcid.org/0009-0009-4981-5095
Chuyan WuAvian Immunosuppressive Diseases Division, State Key Laboratory of Animal Disease Control and Prevention, Harbin Veterinary Research Institute, The Chinese Academy of Agricultural Sciences, Harbin, 150069, China, caas.cn.ORCID https://orcid.org/0009-0006-9560-8933
Hangqiong LuAvian Immunosuppressive Diseases Division, State Key Laboratory of Animal Disease Control and Prevention, Harbin Veterinary Research Institute, The Chinese Academy of Agricultural Sciences, Harbin, 150069, China, caas.cn.ORCID https://orcid.org/0009-0002-1128-8196
Mengyun ChenAvian Immunosuppressive Diseases Division, State Key Laboratory of Animal Disease Control and Prevention, Harbin Veterinary Research Institute, The Chinese Academy of Agricultural Sciences, Harbin, 150069, China, caas.cn.ORCID https://orcid.org/0009-0005-5501-1641
Changjun LiuAvian Immunosuppressive Diseases Division, State Key Laboratory of Animal Disease Control and Prevention, Harbin Veterinary Research Institute, The Chinese Academy of Agricultural Sciences, Harbin, 150069, China, caas.cn.ORCID https://orcid.org/0000-0002-9703-8253
Hongyu CuiAvian Immunosuppressive Diseases Division, State Key Laboratory of Animal Disease Control and Prevention, Harbin Veterinary Research Institute, The Chinese Academy of Agricultural Sciences, Harbin, 150069, China, caas.cn.ORCID https://orcid.org/0000-0002-1432-9814
Yongzhen LiuAvian Immunosuppressive Diseases Division, State Key Laboratory of Animal Disease Control and Prevention, Harbin Veterinary Research Institute, The Chinese Academy of Agricultural Sciences, Harbin, 150069, China, caas.cn.ORCID https://orcid.org/0009-0002-1686-7752
Xiaole QiAvian Immunosuppressive Diseases Division, State Key Laboratory of Animal Disease Control and Prevention, Harbin Veterinary Research Institute, The Chinese Academy of Agricultural Sciences, Harbin, 150069, China, caas.cn.ORCID https://orcid.org/0000-0003-3311-5018
Suyan WangAvian Immunosuppressive Diseases Division, State Key Laboratory of Animal Disease Control and Prevention, Harbin Veterinary Research Institute, The Chinese Academy of Agricultural Sciences, Harbin, 150069, China, caas.cn.ORCID https://orcid.org/0009-0009-5462-8040
Yuntong ChenAvian Immunosuppressive Diseases Division, State Key Laboratory of Animal Disease Control and Prevention, Harbin Veterinary Research Institute, The Chinese Academy of Agricultural Sciences, Harbin, 150069, China, caas.cn.ORCID https://orcid.org/0000-0002-2433-609X
Yulu DuanAvian Immunosuppressive Diseases Division, State Key Laboratory of Animal Disease Control and Prevention, Harbin Veterinary Research Institute, The Chinese Academy of Agricultural Sciences, Harbin, 150069, China, caas.cn.ORCID https://orcid.org/0009-0003-8739-9914
Yulong GaoAvian Immunosuppressive Diseases Division, State Key Laboratory of Animal Disease Control and Prevention, Harbin Veterinary Research Institute, The Chinese Academy of Agricultural Sciences, Harbin, 150069, China, caas.cn.ORCID https://orcid.org/0000-0002-0448-8467
Yanping ZhangAvian Immunosuppressive Diseases Division, State Key Laboratory of Animal Disease Control and Prevention, Harbin Veterinary Research Institute, The Chinese Academy of Agricultural Sciences, Harbin, 150069, China, caas.cn.ORCID https://orcid.org/0000-0001-8802-045X
Funding
No grant is acknowledged in the PubMed record.
6 · The paper itself
Abstract
Marek's disease (MD) continues to cause significant economic losses in the global poultry industry. During routine MD surveillance in China, MD virus type 2 (MDV-2), which has the potential for widespread dissemination, was detected. In this study, 2842 suspected MD samples were collected from 237 poultry flocks vaccinated against MD across 21 provinces and four municipalities in China. Among these, 534 samples (18.79%) from 95/150 flocks (63.29%) tested positive for MDV-2, with detections reported in all provinces and municipalities. A total of 54 MDV-2 strains were isolated and further characterized. The genomes of four isolates, SW20, JLWK1501, LB3, and ZH4, were sequenced and analyzed. Comparative analysis with reference MDV-2 strains (SB-1, 301B/1, and HPRS24) showed that 33 genes in the Chinese isolates differed in length due to insertions or deletions, whereas 27 genes exhibited single-nucleotide polymorphisms (SNPs) without length variation. Homology analysis demonstrated that the four Chinese isolates were more closely related to the US strain 301B/1 than to the US strain SB-1 or the UK strain HPRS24. Point mutations resulted in SNP differences in 18 genes between strain 301B/1 and the Chinese isolates. Additionally, variations in the lengths of four genes (
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 Socratic graph.
Epidemiology of Marek's Disease Virus Type 2 and the Molecular and Pathology Characterization of Virus Isolates in China (2015-2024). · full record | Socratic