Evidence map›Paper›PMID 31956707›Full record

ArticleHeliyon2020

Managing

Christina Osei-Asare, Esther Eshun Oppong, John Antwi Apenteng, Ofosua Adi-Dako, Doris Kumadoh, Ansah Acheampomaah Akosua, Kwasi Adomako Ohemeng

Abstract read
In one paragraph

Article in Heliyon, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. How to make hand sanitiser/hand rub.Community eye health · 2020
    Article
  5. How to make hand sanitiser gel.Community eye health · 2020
    Article
  6. 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

7 authors.

Christina Osei-AsareDepartment of Pharmaceutics, School of Pharmacy, Central University, Miotso, Ghana.
Esther Eshun OppongDepartment of Pharmaceutics, School of Pharmacy, Central University, Miotso, Ghana.
John Antwi ApentengDepartment of Pharmaceutics, School of Pharmacy, Central University, Miotso, Ghana.
Ofosua Adi-DakoDepartment of Pharmaceutics and Microbiology, University of Ghana School of Pharmacy, Legon, Accra, Ghana.
Doris KumadohDepartment of Pharmaceutics and Microbiology, University of Ghana School of Pharmacy, Legon, Accra, Ghana.
Ansah Acheampomaah AkosuaDepartment of Medicinal Chemistry, School of Pharmacy, Central University, Miotso, Ghana.
Kwasi Adomako OhemengDepartment of Medicinal Chemistry, School of Pharmacy, Central University, Miotso, Ghana.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Research indicates an increased use of hand sanitizers globally, and in particular developing countries where bacterial epidemics such as cholera are common. While there is evidence of availability, high demand and use of hand sanitizers, the incidence of cholera in developing countries remains unabated. Several reasons have been put forward, and cost of hand sanitizers remains dominant. It is in response to this contradictory situation of availability but limited access, that this study was conducted to present an alternative option of formulating a high quality and cost effective ethanol-based sanitizer from a Ghanaian local beverage (akpeteshie). The concentration of ethanol in akpeteshie was determined using gas chromatography. An Ethanol based hand sanitizer (Sample C) was formulated with akpeteshie and tested against

Indexed as

AkpeteshieAnalytical chemistryEthanol based hand sanitiser (EBHS)Gas chromatographyGhanaLocal ginNatural productNatural product chemistryPharmaceutical chemistryPublic healthTime-kill testVibrio cholerae

Identifiers

PMID31956707
PMCPMC6956765

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.