Evidence map›Paper›PMID 35383236›Full record

ArticleScientific reports2022

Impact of weather changes on hospital admissions for hypertension.

Frederic Bauer, Janine Lindtke, Felix Seibert, Benjamin Rohn, Adrian Doevelaar, Nina Babel, Peter Schlattmann, Sebastian Bertram, Panagiota Zgoura, Timm H Westhoff

Open access · goldAbstract 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 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.2field-weighted citation impact, top 25% 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

7 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
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

10 authors at 2 institutions in 1 country.

Frederic BauerDepartment of Internal Medicine I, University Hospital Marien Hospital Herne, Ruhr-University of Bochum, Hölkeskampring 40, 44625, Herne, Germany.
Janine LindtkeDepartment of Internal Medicine I, University Hospital Marien Hospital Herne, Ruhr-University of Bochum, Hölkeskampring 40, 44625, Herne, Germany.
Felix SeibertDepartment of Internal Medicine I, University Hospital Marien Hospital Herne, Ruhr-University of Bochum, Hölkeskampring 40, 44625, Herne, Germany.
Benjamin RohnDepartment of Internal Medicine I, University Hospital Marien Hospital Herne, Ruhr-University of Bochum, Hölkeskampring 40, 44625, Herne, Germany.
Adrian DoevelaarDepartment of Internal Medicine I, University Hospital Marien Hospital Herne, Ruhr-University of Bochum, Hölkeskampring 40, 44625, Herne, Germany.
Nina BabelDepartment of Internal Medicine I, University Hospital Marien Hospital Herne, Ruhr-University of Bochum, Hölkeskampring 40, 44625, Herne, Germany.
Peter SchlattmannDepartment of Medical Statistics, Informatics and Data Science, Jena University Hospital, Jena, Germany.
Sebastian BertramDepartment of Internal Medicine I, University Hospital Marien Hospital Herne, Ruhr-University of Bochum, Hölkeskampring 40, 44625, Herne, Germany.
Panagiota ZgouraDepartment of Internal Medicine I, University Hospital Marien Hospital Herne, Ruhr-University of Bochum, Hölkeskampring 40, 44625, Herne, Germany.
Timm H WesthoffDepartment of Internal Medicine I, University Hospital Marien Hospital Herne, Ruhr-University of Bochum, Hölkeskampring 40, 44625, Herne, Germany. timm.westhoff@elisabethgruppe.de.
Universitätsklinik Marien Hospital Herne · DEJena University Hospital · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Blood pressure (BP) shows a seasonal variation with higher levels at lower temperatures. Many hypertensives, however, report on BP disturbances rather in association with acutely changing weather conditions than with absolute temperatures. To date, the impact of changing meteorological parameters on hypertensive episodes remains elusive. We performed a retrospective time series regression analysis on 203,703 patients in three hospitals in Germany between 2010 and 2018, of whom 7362 patients were admitted for hypertensive disease. Numbers of daily admissions for hypertension were associated with metereological data obtained from three nearby weather stations. Data comprised temperature (mean, maximal, minimal and range within 24 h), athmospheric pressure, and precipitation. Changes of these parameters were calculated over a two and three day period. There was an inverse correlation between maximal daily temperature and the number of admissions for hypertensive disease, which remained significant both after adjustment for seasonality and week day in a spline model and in a constrained distributed lag model. A decrease of maximal temperature by 5 °C was associated with a 3% increase of risk for admission for hypertension and vice versa. There were no significant effects of precipitation and athmospheric pressure on the number of admissions. With regard to all observed metereological parameters, neither the change within two, nor within three days was consistently associated with the number of daily admissions. High temperatures are associated with lower numbers of hypertensive episodes requiring hospital admission. In contrast to the subjective perception of many hypertensive patients, however, acutely changing weather conditions are not associated with a higher risk of hypertensive emergency.

Indexed as

HypertensionWeatherHospitalizationHospitalsHumansRetrospective StudiesSeasonsTemperature

Identifiers

PMID35383236
PMCPMC8983729
OpenAlexW4223566542

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.