Evidence map›Paper›PMID 8789008›Full record

ArticleJournal of clinical microbiology1996

Multiprimer PCR system for differential identification of mycobacteria in clinical samples.

P Del Portillo, M C Thomas, E Martínez, C Marañón, B Valladares, M E Patarroyo, M Carlos López

Abstract read
In one paragraph

Article in Journal of clinical microbiology, 1996. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 1 pooled it
–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

25 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  4. Zoonotic pathogens survey in free-living long-tailed macaques in Thailand.International journal of veterinary science and medicine · 2022
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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

7 authors.

P Del PortilloDepartamento de Biología Molecular, Instituto de Parasitología y Biomedicina, Granada.
M C Thomas
E Martínez
C Marañón
B Valladares
M E Patarroyo
M Carlos López

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A novel multiprimer PCR method with the potential to identify mycobacteria in clinical samples is presented. The assay relies on the simultaneous amplification of three bacterial DNA genomic fragments by using different sets of oligonucleotide primers. The first set of primers amplifies a 506-bp fragment from the gene for the 32-kDa antigen of Mycobacterium tuberculosis, which is present in most of the species belonging to the genus Mycobacterium. The second set of primers amplifies a 984-bp fragment from the IS6110 insertion sequence of the bacteria belonging to the M. tuberculosis complex. The third set of primers, derived from an M. tuberculosis species-specific sequence named MTP40, amplifies a 396-bp genomic fragment. Thus, while the multiprimer system would render three amplification fragments from the M. tuberculosis genome and two fragments from the Mycobacterium bovis genome, a unique amplification fragment would be obtained from nontuberculous mycobacteria. The results obtained, using reference mycobacterial strains and typed clinical isolates, show that the multiprimer PCR method may be a rapid, sensitive, and specific tool for the differential identification of various mycobacterial strains in a single-step assay.

Indexed as

Base SequenceDNA, BacterialDNA PrimersDNA ProbesDNA Transposable ElementsEvaluation Studies as TopicHumansMolecular Sequence DataMycobacteriumMycobacterium InfectionsMycobacterium tuberculosisPolymerase Chain ReactionSensitivity and SpecificityTuberculosis, PulmonaryDNA, BacterialDNA PrimersDNA ProbesDNA Transposable Elements

Identifiers

PMID8789008
PMCPMC228790

What OpenQuestion holds

Textmetadata
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.