Evidence map›Paper›PMID 28467045›Full record

ArticleAnalytical chemistry2017

Assuring Consistent Performance of an Insulin-Like Growth Factor 1 MALDImmunoassay by Monitoring Measurement Quality Indicators.

Frank Klont, Nick H T Ten Hacken, Péter Horvatovich, Stephan J L Bakker, Rainer Bischoff

Open access · hybridAbstract read
In one paragraph

Article in Analytical chemistry, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.6field-weighted citation impact, top 16% 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

3 citing papers in PubMed, 17 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
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 2 countries.

Frank KlontAnalytical Biochemistry, Department of Pharmacy, University of Groningen , Antonius Deusinglaan 1, 9713 AV Groningen, The Netherlands.
Nick H T Ten Hacken
Péter HorvatovichAnalytical Biochemistry, Department of Pharmacy, University of Groningen , Antonius Deusinglaan 1, 9713 AV Groningen, The Netherlands.
Stephan J L Bakker
Rainer BischoffAnalytical Biochemistry, Department of Pharmacy, University of Groningen , Antonius Deusinglaan 1, 9713 AV Groningen, The Netherlands.ORCID 0000-0001-9849-0121
University of Groningen · NLEuropean Society for Organ Transplantation · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Analytical methods based on mass spectrometry (MS) have been successfully applied in biomarker discovery studies, while the role of MS in translating biomarker candidates to clinical diagnostics is less pronounced. MALDImmunoassays-methods that combine immunoaffinity enrichment with matrix-assisted laser desorption ionization time-of-flight (MALDI-TOF) mass spectrometric detection-are attractive analytical approaches for large-scale sample analysis by virtue of their ease of operation and high-throughput capabilities. Despite this fact, MALDImmunoassays are not widely used in clinical diagnostics, which is mainly due to the limited availability of internal standards that can adequately correct for variability in sample preparation and the MALDI process itself. Here we present a novel MALDImmunoassay for quantification of insulin-like growth factor 1 (IGF1) in human plasma. Reliable IGF1 quantification in the range of 10-1000 ng/mL was achieved by employing

Indexed as

ImmunoassayQuality Indicators, Health CareHumansInsulin-Like Growth Factor ISpectrometry, Mass, Matrix-Assisted Laser Desorption-IonizationIGF1 protein, humanInsulin-Like Growth Factor I

Identifiers

PMID28467045
PMCPMC5463271
OpenAlexW2611700918

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.