Evidence map›Paper›PMID 34740364›Full record

ArticleBMC complementary medicine and therapies2021

Novel mesoporous silica nanocarriers containing gold; a rapid diagnostic tool for tuberculosis.

Chang Sun, Xiaoying Zhang, Jialu Wang, Yahao Chen, Cunren Meng

Abstract read
In one paragraph

Article in BMC complementary medicine and therapies, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
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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

5 authors.

Chang Sun *Xinjiang Medical University First Affiliated Hospital Urumqi, Xinjiang, 830011, China.
Xiaoying Zhang *Xinjiang Medical University First Affiliated Hospital Urumqi, Xinjiang, 830011, China.
Jialu WangXinjiang Medical University First Affiliated Hospital Urumqi, Xinjiang, 830011, China.
Yahao ChenXinjiang Medical University First Affiliated Hospital Urumqi, Xinjiang, 830011, China.
Cunren MengXinjiang Medical University First Affiliated Hospital Urumqi, Xinjiang, 830011, China. mcr_123@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tuberculosis (TB) is major health concern and reason of deaths from decades to current date. Even though with a lot of advancements, diagnostic techniques, and discovery of standard antibiotics TB remains crucial challenge and can create worst scenario for human health in near future. Nanoparticles play emerging role in diagnosis and treatment of TB. In this study, we developed mesoporous silica nanoparticles containing gold (MSNs@GNPs) for rapid diagnosis and treatment of TB. The physicochemical characterization revealed effective surface morphology and particles diameter, that is applicable for in vitro applications. The in vitro antimicrobial analysis revealed that the designed MSNs@GNPs has retained significantly lower minimal inhibitory concentration (MIC) values and can effectively demolish mycobacterium tuberculosis (Mtb). Furthermore, the diagnosis efficiency of the MSNs@GNPs was evaluated by calorimetric analysis. Which demonstrates that MSNs@GNPs can be used for rapid diagnosis of the tuberculosis when applied on in vitro culture of the Mtb. The current study needs further verification on human's clinical samples from tuberculosis patients. However, MSNs@GNPs can be a versatile clinical approach for the rapid diagnosis and clinical treatment of the tuberculosis.

Indexed as

NanoparticlesAnti-Infective AgentsGoldHumansSilicon DioxideTuberculosisAnti-Infective AgentsGoldSilicon DioxideCalorimetric evaluationGold nanoparticlesMesoporous silica nanoparticlesRapid diagnosisTuberculosis

Identifiers

PMID34740364
PMCPMC8569953

What OpenQuestion holds

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Registered trials

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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.