Article in Microbiology spectrum, 2026. 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.
Antibiotics (Basel, Switzerland) · 2026
Article
Infection and drug resistance · 2026
Review
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
9 authors.
Boqing Xu *National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Disease, Chinese Centre for Disease Control and Prevention, National Institute for Communicable Disease Control and Prevention, Beijing, People's Republic of China.
Yawei Zeng *Beijing Friendship Hospital, Capital Medical University, Beijing, People's Republic of China.
Zelin YuNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Disease, Chinese Centre for Disease Control and Prevention, National Institute for Communicable Disease Control and Prevention, Beijing, People's Republic of China.ORCID 0009-0003-7406-6053
Yi JiangNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Disease, Chinese Centre for Disease Control and Prevention, National Institute for Communicable Disease Control and Prevention, Beijing, People's Republic of China.
Yanyan ZhouBeijing Friendship Hospital, Capital Medical University, Beijing, People's Republic of China.
Chao WangBeijing Friendship Hospital, Capital Medical University, Beijing, People's Republic of China.
Junyi LiuBeijing Friendship Hospital, Capital Medical University, Beijing, People's Republic of China.
Ruibai WangNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Disease, Chinese Centre for Disease Control and Prevention, National Institute for Communicable Disease Control and Prevention, Beijing, People's Republic of China.ORCID 0000-0002-2258-3599
Wenjie QiBeijing Friendship Hospital, Capital Medical University, Beijing, People's Republic of China.ORCID 0000-0001-9232-1407
Funding
National institute for communicable disease control and prevention 37013
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.
Highly effective isolation of · full record | OpenQuestion