Evidence map›Paper›PMID 26124549›Full record

ArticleAnnals of neurosciences2015

Revisiting the dilution factor as vital parameter for sensitivity of ELISA assay in CSF and Plasma.

Keshav Thakur, Suresh Sharma, Sudesh Prabhakar, Pawan Gupta, Akshay Anand

Abstract read
In one paragraph

Article in Annals of neurosciences, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.2field-weighted citation impact, top 44% 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

4 citing papers in PubMed, 6 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

5 authors at 2 institutions in 1 country.

Keshav ThakurNeuroscience Research Lab, Department of Neurology, Post Graduate Institute of Medical Education and Research, Chandigarh, India.
Suresh SharmaDepartment of Statistics, Panjab University, Chandigarh, India.
Sudesh PrabhakarNeuroscience Research Lab, Department of Neurology, Post Graduate Institute of Medical Education and Research, Chandigarh, India.
Pawan GuptaNeuroscience Research Lab, Department of Neurology, Post Graduate Institute of Medical Education and Research, Chandigarh, India.
Akshay AnandNeuroscience Research Lab, Department of Neurology, Post Graduate Institute of Medical Education and Research, Chandigarh, India.
Post Graduate Institute of Medical Education and Research · INPanjab University · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEnzyme Linked Immunosorbent Assay (ELISA) is very sensitive assay which provides quantitative data about expression of antigens. However, its utility is based on certain parameters which vary in the experimental situations. PURPOSE: We aimed to analyse the dilution factor as an important parameter for determining the sensitivity of ELISA in human samples.

methodsTotal of n = 57 ALS patients and n = 48 normal controls were selected for the study. All the patients were recruited from, Department for Neurology and Anaesthesia, PGIMER. Blood and CSF sample was collected and ELISA run was performed in both plasma and blood sample. ELISA of OPTN and TDP-43 was employed to check the respective protein concentration in CSF and Plasma.

resultsThere was no significant difference which was reported for Plasma as well as CSF values of TDP-43 and OPTN. Dilution test prior to actual experiment made a significant impact in deciding the actual concentration of sample and led to overshootingbeyond range of reference protein.

conclusionNegative results from our study highlights the significance of determining the dilution factor as an important parameter for conduct of ELISA.

Indexed as

CSFDilutionELISAOPTNPlasmaStandard curveTDP-43

Identifiers

PMID26124549
PMCPMC4410526
OpenAlexW2019672470

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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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.