Evidence map›Paper›PMID 35227364›Full record

ArticleJournal of the American Association for Laboratory Animal Science : JAALAS2022

Assessment of 2 Hair Removal Methods in New Zealand White Rabbits (

Jennifer E LeFors, Laura M Anderson, Margaret A Hanson, Sorana Raiciulescu

Open access · greenAbstract read
In one paragraph

Article in Journal of the American Association for Laboratory Animal Science : JAALAS, 2022. 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
0.7field-weighted citation impact, top 34% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. An Experimental Model of Proton-Beam-Induced Radiation Dermatitis In Vivo.International journal of molecular sciences · 2023
    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

4 authors at 2 institutions in 1 country.

Jennifer E LeForsDepartments of Laboratory Animal Resources, Bethesda, MD;, Email: jennifer.lefors@usuhs.edu.
Laura M AndersonDepartments of Laboratory Animal Resources, Silver Spring, MD.
Margaret A HansonPathology, Walter Reed Army Institute of Research, Silver Spring, MD.
Sorana RaiciulescuPreventive Medicine and Biostatistics, Uniformed Services University, Bethesda, MD.
Uniformed Services University of the Health Sciences · USWalter Reed Army Institute of Research · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rabbits are frequently used as surgical models in research. However, studies assessing the effects of various hair removal methods on wound healing and surgical site infection (SSI) in rabbits are sparse. Here we evaluated the effects of 2 hair removal methods-clipping with electric clippers and using a commercial depilatory agent-on wound healing and SSI as assessed via wound scoring and histology. Incisions were assigned ASEPSIS scores on days 3 and 7. To assess whether the hair removal methods influenced aseptic preparation, swabs for bacterial culture were obtained just after hair removal on day 0, after aseptic skin preparation on day 0, and on day 1. For histopathologic assessment, full-thickness punch biopsies were obtained on days 0, 1, 3, 7, and 21. Histopathology revealed significant differences between the 2 methods, with the depilatory method having consistently higher scores (that is, more abnormalities). We conclude that for a surgical preparation regimen, clipping is safer, more efficacious, and less traumatic to tissues in rabbits.

Indexed as

Hair RemovalAnimalsHairPreoperative CareRabbitsSkinSurgical Wound Infection

Identifiers

PMID35227364
PMCPMC9137288
OpenAlexW4214623931

What OpenQuestion holds

Textmetadata
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.