Evidence map›Paper›PMID 31076587›Full record

ArticleScientific reports2019

New approach to investigate Common Variable Immunodeficiency patients using spectrochemical analysis of blood.

Emma L Callery, Camilo L M Morais, Maria Paraskevaidi, Vladimir Brusic, Pavaladurai Vijayadurai, Ariharan Anantharachagan, Francis L Martin, Anthony W Rowbottom

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.5field-weighted citation impact, top 17% 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

10 citing papers in PubMed, 23 citations in OpenAlex.

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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 3 institutions in 2 countries.

Emma L CalleryDepartment of Immunology, Lancashire Teaching Hospitals NHS Foundation Trust, Preston, PR2 9HT, UK. emma.callery@lthtr.nhs.uk.
Camilo L M MoraisSchool of Pharmacy and Biomedical Sciences, University of Central Lancashire, Preston, PR1 2HE, UK.
Maria ParaskevaidiSchool of Pharmacy and Biomedical Sciences, University of Central Lancashire, Preston, PR1 2HE, UK.
Vladimir BrusicUniversity of Nottingham Ningbo China, Ningbo, 315100, China.
Pavaladurai VijayaduraiDepartment of Immunology, Lancashire Teaching Hospitals NHS Foundation Trust, Preston, PR2 9HT, UK.
Ariharan AnantharachaganDepartment of Immunology, Lancashire Teaching Hospitals NHS Foundation Trust, Preston, PR2 9HT, UK.
Francis L MartinSchool of Pharmacy and Biomedical Sciences, University of Central Lancashire, Preston, PR1 2HE, UK.ORCID http://orcid.org/0000-0001-8562-4944
Anthony W RowbottomDepartment of Immunology, Lancashire Teaching Hospitals NHS Foundation Trust, Preston, PR2 9HT, UK. anthony.rowbottom@lthtr.nhs.uk.
Lancashire Teaching Hospitals NHS Foundation Trust · GBUniversity of Lancashire · GBUniversity of Nottingham Ningbo China · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Common variable immune deficiency (CVID) is a primary immunodeficiency disease, characterized by hypogammaglobulinemia, recurrent infections and various complications. The clinical heterogeneity of CVID has hindered identification of an underlying immune defect; diagnosis relies on clinical judgement, alongside evidence-based criteria. The lack of pathognomonic clinical or laboratory features leads to average diagnostic delays of 5 years or more from the onset. Vibrational spectroscopic techniques such as Fourier-transform infrared (FTIR) spectroscopy have recently gained increasing clinical importance, being rapid-, non-invasive and inexpensive methods to obtain information on the content of biological samples. This has led us to apply FTIR spectroscopy to the investigation of blood samples from a cohort of CVID patients; revealing spectral features capable of stratifying CVID patients from healthy controls with sensitivities and specificities of 97% and 93%, respectively for serum, and 94% and 95%, respectively for plasma. Furthermore we identified several discriminating spectral biomarkers; wavenumbers in regions indicative of nucleic acids (984 cm

Indexed as

AdultAgammaglobulinemiaBiomarkersCohort StudiesCommon Variable ImmunodeficiencyFemaleHumansMaleMiddle AgedSensitivity and SpecificityYoung AdultBiomarkers

Identifiers

PMID31076587
PMCPMC6510896
OpenAlexW2943982072

What OpenQuestion holds

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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.