Evidence map›Paper›PMID 25177823›Full record

ArticleInternational journal of environmental research and public health2014

Climatic factors and community - associated methicillin-resistant Staphylococcus aureus skin and soft-tissue infections - a time-series analysis study.

Krushna Chandra Sahoo, Soumyakanta Sahoo, Gaetano Marrone, Ashish Pathak, Cecilia Stålsby Lundborg, Ashok J Tamhankar

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
2.2field-weighted citation impact, top 12% 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

16 citing papers in PubMed, 34 citations in OpenAlex.

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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 at 3 institutions in 2 countries.

Krushna Chandra SahooDepartment of Public Health Sciences (Global health/IHCAR), Karolinska Institutet, Stockholm 17177, Sweden. sahookrushna@yahoo.com.
Soumyakanta SahooDepartment of Microbiology, Kalinga Institute of Medical Sciences (KIMS), Super Religare Laboratories Limited, Kalinga Hospital, Bhubaneswar 751024, India. sk.soumya@gmail.com.
Gaetano MarroneDepartment of Public Health Sciences (Global health/IHCAR), Karolinska Institutet, Stockholm 17177, Sweden. gaetano.marrone@ki.se.
Ashish PathakDepartment of Public Health Sciences (Global health/IHCAR), Karolinska Institutet, Stockholm 17177, Sweden. ashish.pathak@ki.se.
Cecilia Stålsby LundborgDepartment of Public Health Sciences (Global health/IHCAR), Karolinska Institutet, Stockholm 17177, Sweden. Cecilia.Stalsby.Lundborg@ki.se.
Ashok J TamhankarDepartment of Public Health Sciences (Global health/IHCAR), Karolinska Institutet, Stockholm 17177, Sweden. ejetee@gmail.com.
Karolinska Institutet · SEInstitute of Medical Sciences · INUppsala University · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Skin and soft tissue infections caused by Staphylococcus aureus (SA-SSTIs) including methicillin-resistant Staphylococcus aureus (MRSA) have experienced a significant surge all over the world. Changing climatic factors are affecting the global burden of dermatological infections and there is a lack of information on the association between climatic factors and MRSA infections. Therefore, association of temperature and relative humidity (RH) with occurrence of SA-SSTIs (n = 387) and also MRSA (n = 251) was monitored for 18 months in the outpatient clinic at a tertiary care hospital located in Bhubaneswar, Odisha, India. The Kirby-Bauer disk diffusion method was used for antibiotic susceptibility testing. Time-series analysis was used to investigate the potential association of climatic factors (weekly averages of maximum temperature, minimum temperature and RH) with weekly incidence of SA-SSTIs and MRSA infections. The analysis showed that a combination of weekly average maximum temperature above 33 °C coinciding with weekly average RH ranging between 55% and 78%, is most favorable for the occurrence of SA-SSTIs and MRSA and within these parameters, each unit increase in occurrence of MRSA was associated with increase in weekly average maximum temperature of 1.7 °C (p = 0.044) and weekly average RH increase of 10% (p = 0.097).

Indexed as

Methicillin ResistanceAnti-Bacterial AgentsClimateCommunity-Acquired InfectionsHospitals, TeachingHumansIncidenceIndiaMethicillinMethicillin-Resistant Staphylococcus aureusMicrobial Sensitivity TestsProspective StudiesRisk FactorsSeasonsSoft Tissue InfectionsStaphylococcal InfectionsAnti-Bacterial AgentsMethicillin

Identifiers

PMID25177823
PMCPMC4199002
OpenAlexW2169299850

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.