Evidence map›Paper›PMID 32770403›Full record

ArticleInternational journal of biometeorology2020

Relationship between synoptic weather type and emergency department visits for different types of pain across the Triangle region of North Carolina.

Christopher Elcik, Christopher M Fuhrmann, Scott C Sheridan, Andrew E Mercer, Kathleen Sherman-Morris

Abstract read
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In one paragraph

Article in International journal of biometeorology, 2020. 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
–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

2 citing papers in PubMed.

  1. Article
  2. 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.

Christopher ElcikDepartment of Geography, University of Georgia, 210 Field Street Geography/Geology, Athens, GA, 30602, USA. cje66848@uga.edu.ORCID http://orcid.org/0000-0001-5575-5011
Christopher M FuhrmannDepartment of Geosciences, Mississippi State University, Starkville, MS, USA.
Scott C SheridanDepartment of Geography, Kent State University, Kent, OH, USA.
Andrew E MercerDepartment of Geosciences, Mississippi State University, Starkville, MS, USA.
Kathleen Sherman-MorrisDepartment of Geosciences, Mississippi State University, Starkville, MS, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Many people around the world are impacted by some form of bodily pain. Outside factors, such as weather, are thought to help trigger pain, especially in those who have pain-related conditions. When it comes to human health and comfort, understanding the potential external factors that aide in triggering pain is essential. Identifying such factors makes prevention and treatment of pain more feasible. This study focused on how those who suffer from various pain-related conditions (fibromyalgia, rheumatoid arthritis, osteoarthritis, and general back pain) are impacted by different synoptic weather types (i.e., air masses). Synoptic weather types and emergency department (ED) visits for pain in select central North Carolina counties were collected over a seven-year period to determine a potential relationship. Bootstrapped confidence intervals revealed that moist tropical weather types resulted in the highest number of ED visits for each of the conditions examined, while moist polar weather types often resulted in the fewest. The barometric pressure changes associated with transitional weather types, which are often associated with fronts, did not have any significant relationships with pain.

Indexed as

Emergency Service, HospitalWeatherAtmospheric PressureHumansNorth CarolinaPainArthritisEmergency departmentFibromyalgiaPainSynoptic classification, weather type, air mass

Identifiers

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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.