Literature DB >> 3214121

Performance of screening tests for porphyria.

A C Deacon1.   

Abstract

The clinical utility of screening tests for porphyria has been assessed in 201 cases referred to Northwick Park Hospital. Routine screening in the referring laboratories was unreliable giving both false negative and positive results. Only 43% of porphyrics were correctly identified, apparently due to poor analytical sensitivity. Evidence is presented to show that the adoption of alternative semiquantitative tests for porphyrins employing spectrophotometric scanning of acidified urine or of faecal extracts will overcome many of these problems.

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Year:  1988        PMID: 3214121     DOI: 10.1177/000456328802500412

Source DB:  PubMed          Journal:  Ann Clin Biochem        ISSN: 0004-5632            Impact factor:   2.057


  5 in total

Review 1.  ACP Best Practice No 165: front line tests for the investigation of suspected porphyria.

Authors:  A C Deacon; G H Elder
Journal:  J Clin Pathol       Date:  2001-07       Impact factor: 3.411

2.  Functional connectivity underpinnings of electroconvulsive therapy-induced memory impairments in patients with depression.

Authors:  Danhong Wang; Yanghua Tian; Meiling Li; Louisa Dahmani; Qiang Wei; Tongjian Bai; Franziska Galiè; Jianxun Ren; Rai Khalid Farooq; Kangcheng Wang; Jie Lu; Kai Wang; Hesheng Liu
Journal:  Neuropsychopharmacology       Date:  2020-05-20       Impact factor: 7.853

3.  Porphyria cutanea tarda and haemochromatosis: a family study.

Authors:  D G Seymour; G H Elder; A Fryer; A Jacobs; G T Williams
Journal:  Gut       Date:  1990-06       Impact factor: 23.059

4.  Association Between Greater Cerebellar Network Connectivity and Improved Phonemic Fluency Performance After Exercise Training in Older Adults.

Authors:  Junyeon Won; Yasmeen Faroqi-Shah; Daniel D Callow; Allison Williams; Adewale Awoyemi; Kristy A Nielson; J Carson Smith
Journal:  Cerebellum       Date:  2021-01-28       Impact factor: 3.847

5.  Hypoplasia of cerebellar afferent networks in Down syndrome revealed by DTI-driven tensor based morphometry.

Authors:  Nancy Raitano Lee; Amritha Nayak; M Okan Irfanoglu; Neda Sadeghi; Catherine J Stoodley; Elizabeth Adeyemi; Liv S Clasen; Carlo Pierpaoli
Journal:  Sci Rep       Date:  2020-03-25       Impact factor: 4.379

  5 in total

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