Evidence map›Paper›PMID 38867737›Full record

ArticleRSC advances2024

Ti

Boya Shi, Li Jiang, Ruikai Ma, Weidan Zhao, Yekai Zheng, Wangwei Pan, Mi Liu, Shangzhong Jin, Yan Zhou

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in RSC advances, 2024. 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. Recent Advancements in the SERS-Based Detection ofSensors (Basel, Switzerland) · 2026
    Review
  2. 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.

Boya ShiCollege of Optical and Electronic Technology, China Jiliang University Hangzhou 310018 P. R. China lijiang@cjlu.edu.cn.
Li JiangCollege of Optical and Electronic Technology, China Jiliang University Hangzhou 310018 P. R. China lijiang@cjlu.edu.cn.ORCID https://orcid.org/0000-0003-2652-0699
Ruikai MaCollege of Optical and Electronic Technology, China Jiliang University Hangzhou 310018 P. R. China lijiang@cjlu.edu.cn.
Weidan ZhaoCollege of Optical and Electronic Technology, China Jiliang University Hangzhou 310018 P. R. China lijiang@cjlu.edu.cn.
Yekai ZhengCollege of Optical and Electronic Technology, China Jiliang University Hangzhou 310018 P. R. China lijiang@cjlu.edu.cn.
Wangwei PanCollege of Optical and Electronic Technology, China Jiliang University Hangzhou 310018 P. R. China lijiang@cjlu.edu.cn.
Mi LiuCollege of Optical and Electronic Technology, China Jiliang University Hangzhou 310018 P. R. China lijiang@cjlu.edu.cn.
Shangzhong JinCollege of Optical and Electronic Technology, China Jiliang University Hangzhou 310018 P. R. China lijiang@cjlu.edu.cn.
Yan ZhouWenzhou Key Laboratory of Sanitary Microbiology, Key Laboratory of Laboratory Medicine, Ministry of Education, School of Laboratory Medicine and Life Sciences, Wenzhou Medical University Wenzhou Zhejiang 325035 P. R. China zhouyan@wmu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bacterial infections have become a serious global health problem due to the misuse of antibiotics which causes the emergence of antibiotic-resistant strains. Photothermal therapy (PTT) has been widely studied in recent years as a method to combat the development of bacterial resistance. However, PPT may cause damage to the human body due to excessive laser power. Therefore, it is important and urgent to develop a multifunctional platform that can sensitively detect bacteria and effectively inhibit or kill bacteria at low laser power. Herein, a novel multifunctional paper substrate of Ti

Identifiers

PMID38867737
PMCPMC11167614

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.