Evidence map›Paper›PMID 28978815›Full record

ArticleIndustrial health2017

Performance of materials used for biological personal protective equipment against blood splash penetration.

Noriko Shimasaki, Katsuaki Shinohara, Hideki Morikawa

Abstract read
In one paragraph

Article in Industrial health, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. A Quick Laboratory Method for Assessment of Blood Penetration and Splash Resistance of PPE Fabrics During the COVID-19 Pandemic Situation.Transactions of the Indian National Academy of Engineering : an international journal of engineering and technology · 2022
    Article
  2. Article
  3. Article
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

3 authors.

Noriko ShimasakiNational Institute of Infectious Diseases, Japan.
Katsuaki ShinoharaNational Institute of Infectious Diseases, Japan.
Hideki MorikawaShinshu University, Faculty of Textile Science and Technology, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

For occupational safety, healthcare workers must select and wear appropriate personal protective equipment (PPE), protective clothing, and masks as countermeasures against exposure to infectious body fluids and blood splash. It is important for healthcare workers to ensure the protective performance of each PPE against penetration of pathogens. The International Standards Organization (ISO) 22609 test evaluates the effectiveness of medical facemasks to protect against penetration of splashed synthetic blood. However, in this method, the protective performance is determined only visually, without quantification of leaked liquid volume. Therefore, in this study, we modified the ISO 22609 test method to quantify the volume of leaked liquid and obtain a more accurate assessment of the protection performance. We tested non-woven and woven materials used for masks or protective clothing, and the performance of each material was classified using this new method. We found that the quantity of leaked synthetic blood was dependent on the structural characteristics of each material. These findings will allow healthcare workers to select the most appropriate PPE for a given situation or task.

Indexed as

Blood SubstitutesHumansMaterials TestingOccupational ExposurePersonal Protective EquipmentBlood SubstitutesBlood splashHazardous biological agentsNonwovenPenetrationPersonal protective clothingPersonal protective equipmentWoven

Identifiers

PMID28978815
PMCPMC5718772

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.