Evidence map›Paper›PMID 41915421›Full record

ArticleJournal of medical microbiology2026

Microbial profiling of five traditional Chinese medicines: culture-based identification vs. 16S rRNA sequencing.

Banzhan Ruan, Shi Li, Caixia Chen, Bingshu Wang, Xueyin Wang, Le Du, Qibing Liang, Chunyan Feng, Shaojiang Zheng

Abstract readComparative Study
In one paragraph

Article in Journal of medical microbiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Banzhan RuanKey Laboratory of Emergency and Trauma of Ministry of Education, Engineering Research Center for Hainan Biological Sample Resources of Major Diseases, Hainan Branch of National Clinical Research Center for Cancer, The First Affiliated Hospital, Hainan Medical University, Haikou 570102, PR China.
Shi LiDepartment of Urology, Key Laboratory of Clinical Laboratory Diagnosis and Translational Research of Zhejiang Province, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou Zhejiang 325005, PR China.
Caixia ChenHainan Inspection and Testing Institute, Haikou 570311, PR China.
Bingshu WangKey Laboratory of Emergency and Trauma of Ministry of Education, Engineering Research Center for Hainan Biological Sample Resources of Major Diseases, Hainan Branch of National Clinical Research Center for Cancer, The First Affiliated Hospital, Hainan Medical University, Haikou 570102, PR China.
Xueyin WangHainan Inspection and Testing Institute, Haikou 570311, PR China.
Le DuDepartment of Biology, School of Basic Medicine, Hainan Medical University, Haikou 571199, PR China.
Qibing LiangHainan Inspection and Testing Institute, Haikou 570311, PR China.
Chunyan FengHainan Center for Drug Inspection, Haikou 571199, PR China.
Shaojiang ZhengKey Laboratory of Emergency and Trauma of Ministry of Education, Engineering Research Center for Hainan Biological Sample Resources of Major Diseases, Hainan Branch of National Clinical Research Center for Cancer, The First Affiliated Hospital, Hainan Medical University, Haikou 570102, PR China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

BacteriaDrugs, Chinese HerbalMedicine, Chinese TraditionalChinaDNA, BacterialDrug ContaminationHigh-Throughput Nucleotide SequencingRNA, Ribosomal, 16SSequence Analysis, DNADNA, BacterialDrugs, Chinese HerbalRNA, Ribosomal, 16S16S rRNA sequencingEnterobactermicrobial contaminationmicrobial profilingtraditional Chinese medicinesVITEK

Identifiers

PMID41915421
PMCPMC13038136

What OpenQuestion holds

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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.