Evidence map›Paper›PMID 27418712›Full record

ArticleDisease markers2016

Discovery of Novel Biomarkers for Alzheimer's Disease from Blood.

Jintao Long, Genhua Pan, Emmanuel Ifeachor, Robert Belshaw, Xinzhong Li

Open access · hybridAbstract read
In one paragraph

Article in Disease markers, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 2 pooled it
5.8field-weighted citation impact, top 4% 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

30 citing papers in PubMed, 2 syntheses or guidelines pooled it, 62 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
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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 1 institution in 1 country.

Jintao LongSchool of Medicine, Plymouth University Peninsula Schools of Medicine and Dentistry (PUPSMD), Drake Circus, Plymouth PL4 8AA, UK.
Genhua PanSchool of Computing, Electronics and Mathematics, Plymouth University, Drake Circus, Plymouth PL4 8AA, UK.
Emmanuel IfeachorSchool of Computing, Electronics and Mathematics, Plymouth University, Drake Circus, Plymouth PL4 8AA, UK.
Robert BelshawSchool of Biomedical & Healthcare Sciences, Plymouth University Peninsula Schools of Medicine and Dentistry (PUPSMD), Drake Circus, Plymouth PL4 8AA, UK.
Xinzhong LiSchool of Medicine, Plymouth University Peninsula Schools of Medicine and Dentistry (PUPSMD), Drake Circus, Plymouth PL4 8AA, UK.
University of Plymouth · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Blood-based biomarkers for Alzheimer's disease would be very valuable because blood is a more accessible biofluid and is suitable for repeated sampling. However, currently there are no robust and reliable blood-based biomarkers for practical diagnosis. In this study we used a knowledge-based protein feature pool and two novel support vector machine embedded feature selection methods to find panels consisting of two and three biomarkers. We validated these biomarker sets using another serum cohort and an RNA profile cohort from the brain. Our panels included the proteins ECH1, NHLRC2, HOXB7, FN1, ERBB2, and SLC6A13 and demonstrated promising sensitivity (>87%), specificity (>91%), and accuracy (>89%).

Indexed as

Alzheimer DiseaseBiomarkersBrainCarbon-Carbon Double Bond IsomerasesErb-b2 Receptor Tyrosine KinasesFibronectinsGABA Plasma Membrane Transport ProteinsHomeodomain ProteinsHumansKnowledge BasesProteomeRNA, MessengerSensitivity and SpecificityTranscriptomeBiomarkersCarbon-Carbon Double Bond Isomerasesdelta(3,5),delta(2,4)-dienoyl-CoA isomeraseERBB2 protein, humanErb-b2 Receptor Tyrosine KinasesFibronectinsFN1 protein, humanGABA Plasma Membrane Transport ProteinsHomeodomain ProteinsHOXB7 protein, humanProteomeRNA, MessengerSLC6A13 protein, human

Identifiers

PMID27418712
PMCPMC4932164
OpenAlexW2405312860

What OpenQuestion holds

Textmetadata
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.