Evidence map›Paper›PMID 21575248›Full record

ArticleBMC microbiology2011

Molecular identification of Coccidioides spp. in soil samples from Brazil.

Regina C L de Macêdo, Alexandre S Rosado, Fabio F da Mota, Maria A S Cavalcante, Kelsen D Eulálio, Antônio D Filho, Liline M S Martins, Márcia S Lazéra, Bodo Wanke

Open access · goldAbstract read
In one paragraph

Article in BMC microbiology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
2.0field-weighted citation impact, top 14% 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

17 citing papers in PubMed, 38 citations in OpenAlex.

  1. Urban soils along the Kern River and Los Gatos Creek are hotspots forApplied and environmental microbiology · 2026
    Article
  2. Urban soils along the Kern River and Los Gatos Creek are hotspots forbioRxiv : the preprint server for biology · 2026
    Article
  3. Article
  4. Review
  5. Coccidioides Species: A Review of Basic Research: 2022.Journal of fungi (Basel, Switzerland) · 2022
    Review
  6. Beyond Domestic Cats: Environmental Detection ofJournal of fungi (Basel, Switzerland) · 2022
    Article
  7. Review
  8. A Review ofCurrent clinical microbiology reports · 2021
    Review
  9. Article
  10. Coccidioides ecology and genomics.Medical mycology · 2019
    Review
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Review
  17. 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

9 authors at 4 institutions in 1 country.

Regina C L de MacêdoLaboratório de Micologia do Instituto de Pesquisa Clínica Evandro Chagas, Fundação Oswaldo Cruz, Rio de Janeiro, Brasil. regina.macedo@ipec.fiocruz.br
Alexandre S Rosado
Fabio F da Mota
Maria A S Cavalcante
Kelsen D Eulálio
Antônio D Filho
Liline M S Martins
Márcia S Lazéra
Bodo Wanke
Fundação Oswaldo Cruz · BRUniversidade Federal do Piauí · BRUniversidade Estadual do Piau · BRUniversidade Federal do Rio de Janeiro · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSince 1991 several outbreaks of acute coccidioidomycosis (CM) were diagnosed in the semi-arid Northeast of Brazil, mainly related to disturbance of armadillo burrows caused by hunters while digging them for the capture of these animals. This activity causes dust contaminated with arthroconidia of Coccidioides posadasii, which, once inhaled, cause the mycosis. We report on the identification of C. posadasii in soil samples related to outbreaks of CM.

resultsTwenty four soil samples had their DNA extracted and subsequently submitted to a semi-nested PCR technique using specific primers. While only 6 (25%) soil samples were positive for C. posadasii by mice inoculation, all (100%) were positive by the molecular tool.

conclusionThis methodology represents a simple, sensitive and specific molecular technique to determine the environmental distribution of Coccidioides spp. in endemic areas, but cannot distinguish the species. Moreover, it may be useful to identify culture isolates. Key-words: 1. Coccidioidomycosis. 2. Coccidioides spp. 3. C. posadasii. 4. Semi-arid. 5. Semi-nested PCR.

Indexed as

Soil MicrobiologyAnimal ExperimentationAnimalsBrazilCoccidioidesMiceMycologyMycosesPolymerase Chain ReactionSensitivity and Specificity

Identifiers

PMID21575248
PMCPMC3120643
OpenAlexW2038069734

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.