ArticleJournal of clinical laboratory analysis2007
FlindersTechnology Associates (FTA) filter paper-based DNA extraction with polymerase chain reaction (PCR) for detection of Pneumocystis jirovecii from respiratory specimens of immunocompromised patients.
Article in Journal of clinical laboratory analysis, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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.
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.
Who cites it
7 citing papers in PubMed, 19 citations in OpenAlex.
- Use of FTA card for the detection of two RNA (CSFV and SV-A) and two DNA viruses (ASFVand SuHV-1) of importance in veterinary medicine.Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology] · 2024Article
- Advances in Directly Amplifying Nucleic Acids from Complex Samples.Biosensors · 2019Review
- Smartphone operable centrifugal system (SOCS) for on-site DNA extraction from foodborne bacterial pathogen.Biomicrofluidics · 2019Article
- Is "dried stool spots on filter paper method (DSSFP)" more sensitive and effective for detecting Blastocystis spp. and their subtypes by PCR and sequencing?Parasitology research · 2016Article
- An overview of the clinical use of filter paper in the diagnosis of tropical diseases.The American journal of tropical medicine and hygiene · 2014Review
- Respiratory cryptosporidiosis in HIV-seronegative children in Uganda: potential for respiratory transmission.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2010Article
- PCR-based diagnosis of human fungal infections.Expert review of anti-infective therapy · 2009Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
We evaluated the diagnostic value of Flinders Technology Associates (FTA) filter paper together with polymerase chain reaction (PCR) for detection of Pneumocystis jirovecii (carinii) from induced sputum (IS) and bronchoalveolar lavage fluid (BALF) samples. The study involved 162 patients with clinical diagnosis of pneumocystis pneumonia (PcP) of human immunodeficiency virus/acquired immune deficiency syndrome (HIV/AIDS) patients and other immunocompromised patients. P. jirovecii cysts or trophozoites were detected in IS and BALF by cytological method. The mitochondrial 5S ribosomal ribonucleic acid (rRNA) gene of P. jirovecii was amplified from these samples by using FTA filters together with a one-step PCR method (FTA-PCR). With the FTA-PCR method, the sensitivity and specificity of the test compared to microscopic examination were 67% and 90% for IS, while they were 67% and 91% for BALF, respectively. The sensitivity and specificity of the FTA-PCR test was also comparable to PCR with the conventional deoxyribonucleic acid (DNA) extraction method. We concluded that FTA-PCR is useful to detect P. jirovecii in noninvasive IS.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.