Evidence map›Paper›PMID 25925400›Full record

ArticleBMC microbiology2015

Comparing methods of determining Legionella spp. in complex water matrices.

Álvaro Díaz-Flores, Juan Carlos Montero, Francisco Javier Castro, Eva María Alejandres, Carmen Bayón, Inmaculada Solís, Roberto Fernández-Lafuente, Guillermo Rodríguez

Open access · goldAbstract readComparative StudyEvaluation Study
In one paragraph

Article in BMC microbiology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
2.4field-weighted citation impact, top 13% 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

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 37 citations in OpenAlex.

  1. Pooled it
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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

8 authors at 4 institutions in 1 country.

Álvaro Díaz-FloresDepartamento de Microbiología General III, Facultad de Ciencias Biológicas, Universidad Complutense de Madrid, Campus Moncloa, 28040, Madrid, Spain. alvarodiazflores@pas.ucm.es.
Juan Carlos MonteroInstituto de Ciencias de la Salud Ctra, de Extremadura Km. 114, 45600, Talavera de la Reina, Spain. jcmontero@jccm.es.
Francisco Javier CastroLaboratorio Regional de Salud Pública Consejería de Sanidad y Consumo/Comunidad de Madrid, C/ Sierra del Alquife N 8, 2 Planta, 28053, Madrid, Spain. javier.castro@salud.madrid.org.
Eva María AlejandresLaboratorio Regional de Salud Pública Consejería de Sanidad y Consumo/Comunidad de Madrid, C/ Sierra del Alquife N 8, 2 Planta, 28053, Madrid, Spain. eva.alejandres@salud.madrid.org.
Carmen BayónLaboratorio Regional de Salud Pública Consejería de Sanidad y Consumo/Comunidad de Madrid, C/ Sierra del Alquife N 8, 2 Planta, 28053, Madrid, Spain. maria.bayon@salud.madrid.org.
Inmaculada SolísIproma, S.L, Cno.de la Raya 46, 12005, Castellón, Spain. isolis@iproma.com.
Roberto Fernández-LafuenteDepartamento de Biocatálisis, Instituto de Catálisis y Petroleoquímica, Consejo Superior de Investigaciones Científicas, Campus UAM-CSIC, 28049, Cantoblanco, Madrid, Spain. rfl@icp.csic.es.
Guillermo RodríguezBiótica, Bioquímica Analítica, S.L, Science and Technology Park of Jaume I University, Campus RiuSec - Espaitec 2, planta baja, E12071, Castellón de la Plana, Spain. guiller@biotica.es.
Comunidad de Madrid · ESInstituto de Catálisis y Petroleoquímica · ESUniversidad Complutense de Madrid · ESUniversitat Jaume I · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLegionella testing conducted at environmental laboratories plays an essential role in assessing the risk of disease transmission associated with water systems. However, drawbacks of culture-based methodology used for Legionella enumeration can have great impact on the results and interpretation which together can lead to underestimation of the actual risk. Up to 20% of the samples analysed by these laboratories produced inconclusive results, making effective risk management impossible. Overgrowth of competing microbiota was reported as an important factor for culture failure. For quantitative polymerase chain reaction (qPCR), the interpretation of the results from the environmental samples still remains a challenge. Inhibitors may cause up to 10% of inconclusive results. This study compared a quantitative method based on immunomagnetic separation (IMS method) with culture and qPCR, as a new approach to routine monitoring of Legionella.

resultsFirst, pilot studies evaluated the recovery and detectability of Legionella spp using an IMS method, in the presence of microbiota and biocides. The IMS method results were not affected by microbiota while culture counts were significantly reduced (1.4 log) or negative in the same samples. Damage by biocides of viable Legionella was detected by the IMS method. Secondly, a total of 65 water samples were assayed by all three techniques (culture, qPCR and the IMS method). Of these, 27 (41.5%) were recorded as positive by at least one test. Legionella spp was detected by culture in 7 (25.9%) of the 27 samples. Eighteen (66.7%) of the 27 samples were positive by the IMS method, thirteen of them reporting counts below 10(3) colony forming units per liter (CFU l(-1)), six presented interfering microbiota and three presented PCR inhibition. Of the 65 water samples, 24 presented interfering microbiota by culture and 8 presented partial or complete inhibition of the PCR reaction. So the rate of inconclusive results of culture and PCR was 36.9 and 12.3%, respectively, without any inconclusive results reported for the IMS method.

conclusionThe IMS method generally improved the recovery and detectability of Legionella in environmental matrices, suggesting the possibility to use IMS method as valuable indicator of risk. Thus, this method may significantly improve our knowledge about the exposure risk to these bacteria, allowing us to implement evidence-based monitoring and disinfection strategies.

Indexed as

Water MicrobiologyBacterial LoadHumansImmunomagnetic SeparationLegionellaReal-Time Polymerase Chain Reaction

Identifiers

PMID25925400
PMCPMC4436101
OpenAlexW1971945172

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.