Evidence map›Paper›PMID 42154083›Full record

ArticleInternational journal of biometeorology2026

Climate and sino-nasal symptoms.

Sebastian S Dobrow, Robert E Davis, Katherine E Franklin, Julian De La Chapa, Andrew Strumpf, Spencer C Payne, Jose L Mattos

Abstract read
In one paragraph

Article in International journal of biometeorology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Sebastian S DobrowUniversity of Virginia School of Medicine, 200 Jeanette Lancaster Way, Charlottesville, VA, 22903, USA.
Robert E DavisDepartment of Environmental Sciences, University of Virginia, P.O. Box 400123, Charlottesville, VA, 22904-4123, USA. red3u@virginia.edu.ORCID http://orcid.org/0000-0002-3969-878X
Katherine E FranklinUniversity of Virginia School of Medicine, 200 Jeanette Lancaster Way, Charlottesville, VA, 22903, USA.
Julian De La ChapaDepartment of Otolaryngology - Head and Neck Surgery, University of Virginia, P.O. Box 800713, Charlottesville, VA, 22908, USA.
Andrew StrumpfDepartment of Otolaryngology - Head and Neck Surgery, University of Virginia, P.O. Box 800713, Charlottesville, VA, 22908, USA.
Spencer C PayneDivision of Rhinology and Sinus Surgery, Department of Otolaryngology - Head and Neck Surgery, University of Virginia, P.O. Box 800713, Charlottesville, VA, 22908, USA.
Jose L MattosDivision of Rhinology and Sinus Surgery, Department of Otolaryngology - Head and Neck Surgery, University of Virginia, P.O. Box 800713, Charlottesville, VA, 22908, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Patients with sino-nasal issues often believe their symptoms are exacerbated by certain weather conditions, but these relationships are largely anecdotal. Using an extensive archive of patient surveys at the University of Virginia Rhinology Clinic from January 2010-March 2020, we examined whether sino-nasal symptoms were impacted by the weather on, or shortly before, the day of clinic visit. Clinic patients completed the Sino-Nasal Outcome Test (SNOT-22), a 22-question survey related to symptoms and severity, on the day of each visit. Included patients lived in one of 28 zip codes comprising the city of Charlottesville and Albemarle County. The primary exposure variable was the Spatial Synoptic Classification (SSC)-a nominal classification of each day's weather type. The SSC weather type on the day of the clinic visit and up to three days before was used as the exposure variable. Weather on days with poor symptoms (mean daily SNOT-22 score ≥ 50) were compared to all other days via odds ratios (ORs) for lags of 0-3 days, and a multivariate mixed effects logistic regression was employed to examine the association between SSC and symptom severity. A total of 955 SNOT-22 surveys were acquired from 481 patients. Dry, polar days (SSC category "DP") and days with transitional weather (SSC category "TR") had 2.0 times the odds of high SNOT-22 scores compared to all other weather types on the day of clinic visit (OR 2.0 [95% CIs 1.4, 2.8]). Logistic regression results indicate 4.0 times higher odds of high SNOT-22 scores on DP days compared to dry moderate days. Climate's effect on sinus symptoms should be considered when managing and measuring sino-nasal symptoms or treatment outcomes.

Indexed as

ClimateRhinosinusitisWeatherAdolescentAdultAgedFemaleHumansMaleMiddle AgedSino-Nasal Outcome TestVirginiaYoung AdultRhinologySino-nasal symptomsSinusitisSNOT-22Spatial synoptic climatology

Identifiers

PMID42154083
PMCPMC13186851

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LicenceCC BY
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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.