Evidence map›Paper›PMID 34884373›Full record

ArticleJournal of clinical medicine2021

An Evaluation of a Simplified Impression Membrane Sampling Method for the Diagnosis of Microbial Keratitis.

Tobi F Somerville, Rose Herbert, Timothy Neal, Malcolm Horsburgh, Stephen B Kaye

Open access · goldAbstract read
In one paragraph

Article in Journal of clinical medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.7field-weighted citation impact, top 16% of its field
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

8 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Emerging diagnostic modalities in microbial keratitis: Beyond culture and smear.Saudi journal of ophthalmology : official journal of the Saudi Ophthalmological Society
    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

5 authors at 1 institution in 1 country.

Tobi F SomervilleDepartment of Eye and Vision Sciences, University of Liverpool, Liverpool L69 3BX, UK.
Rose HerbertDepartment of Eye and Vision Sciences, University of Liverpool, Liverpool L69 3BX, UK.ORCID 0000-0001-6728-5125
Timothy NealDepartment of Microbiology, Liverpool University Hospitals NHS Foundation Trust, Liverpool L9 3GA, UK.
Malcolm HorsburghDepartment of Infection Biology and Microbiomes, University of Liverpool, Liverpool L69 3BX, UK.
Stephen B KayeDepartment of Eye and Vision Sciences, University of Liverpool, Liverpool L69 3BX, UK.ORCID 0000-0003-0390-0592
University of Liverpool · GB

Funding

Medical Research Council MR/S022104/1
6 · The paper itself

Abstract

The purpose of this study was to compare bacterial isolation rate using a corneal impression membrane (CIM) and a sharp instrument for obtaining corneal samples from patients with suspected microbial keratitis (MK). Data was retrospectively collected for all patients that had corneal samples taken for presumed MK between May 2014 and May 2020. Prior to May 2017 samples were collected by scraping the edges of the ulcer with a blade. From May 2017, samples were collected by placing a CIM (Millicell cell culture insert) against the ulcer. All corneal samples were processed using the same conventional diagnostic culture method. A total of 3099 corneal samples were included, of which 1214 (39.2%) were corneal scrapes and 1885 (60.9%) CIMs. Microorganisms were isolated from 235 (19.4%) and 1229 (65.2%) cases using a corneal scrape and CIM, respectively (

Indexed as

corneal impression membranecorneal scrapemicrobial keratitis

Identifiers

PMID34884373
PMCPMC8658700
OpenAlexW3215256801

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.