Evidence map›Paper›PMID 36463334›Full record

ArticleScientific reports2022

Human attachment site preferences of ticks parasitizing in New York.

Charles Hart, Laura A Schad, Jahnavi Reddy Bhaskar, Erin S Reynolds, Christopher P Morley, Saravanan Thangamani

Abstract read
In one paragraph

Article in Scientific reports, 2022. 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
–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

8 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Ecological relationships ofParasitology · 2024
    Article
  7. Review
  8. 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

6 authors.

Charles HartDepartment of Microbiology and Immunology, Upstate Medical University, Syracuse, NY, 13210, USA.
Laura A SchadDepartment of Public Health and Preventive Medicine, Upstate Medical University, Syracuse, NY, 13210, USA.
Jahnavi Reddy BhaskarDepartment of Microbiology and Immunology, Upstate Medical University, Syracuse, NY, 13210, USA.
Erin S ReynoldsDepartment of Microbiology and Immunology, Upstate Medical University, Syracuse, NY, 13210, USA.
Christopher P MorleyDepartment of Public Health and Preventive Medicine, Upstate Medical University, Syracuse, NY, 13210, USA.
Saravanan ThangamaniDepartment of Microbiology and Immunology, Upstate Medical University, Syracuse, NY, 13210, USA. ThangamS@upstate.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ticks transmit several arthropod-borne pathogens in New York State. The primary human-biting ticks in this region are Ixodes scapularis, Amblyomma americanum, and Dermacentor variabilis. Body regions where tick bites human vary depending on the tick species and life stage, and clothing worn by the host. A community tick submission system was used to acquire information about bite-site location prior to pathogen testing to understand species and life stage-specific body-segment preferences. These data resulted in the identification of species-specific preferences for location, with D. variabilis preferentially biting the head and neck and A. americanum preferring the thighs, groin, and abdomen. Ixodes scapularis was found across the body, although it showed a significant life stage difference with adults preferring the head, midsection, and groin, while nymphs/larvae preferred the extremities. Infection with Borrelia burgdorferi resulted in a significant change in attachment site. This provides an assessment of which body region ticks of the most common species in New York are likely to be found.

Indexed as

Abdominal CavityArthropodsBorrelia burgdorferiIxodesAdultAnimalsHumansNew York

Identifiers

PMID36463334
PMCPMC9719493

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.