Evidence map›Paper›PMID 34135365›Full record

ArticleScientific reports2021

Aptamer based diagnosis of crimean-congo hemorrhagic fever from clinical specimens.

Tahmineh Jalali, Mostafa Salehi-Vaziri, Mohammad Hassan Pouriayevali, Seyed Latif Mousavi Gargari

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
1.0field-weighted citation impact, top 20% 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 20 citations in OpenAlex.

  1. Pooled it
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  4. Review
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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

4 authors at 2 institutions in 1 country.

Tahmineh JalaliDepartment of Biology, Faculty of Basic Sciences, Shahed University, Tehran, Iran.
Mostafa Salehi-VaziriDepartment of Arboviruses and Viral Hemorrhagic Fevers (National Reference Laboratory), Pasteur Institute of Iran, Tehran, Iran.
Mohammad Hassan PouriayevaliDepartment of Arboviruses and Viral Hemorrhagic Fevers (National Reference Laboratory), Pasteur Institute of Iran, Tehran, Iran.
Seyed Latif Mousavi GargariDepartment of Biology, Faculty of Basic Sciences, Shahed University, Tehran, Iran. slmousavi@shahed.ac.ir.
Pasteur Institute of Iran · IRShahed University · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Crimean-Congo hemorrhagic fever (CCHF) is an acute viral zoonotic disease. The widespread geographic distribution of the disease and the increase in the incidence of the disease from new regions, placed CCHF in a list of public health emergency contexts. The rapid diagnosis, in rural and remote areas where the majority of cases occur, is essential for patient management. Aptamers are considered as a specific and sensitive tool for being used in rapid diagnostic methods. The Nucleoprotein (NP) of the CCHF virus (CCHFV) was selected as the target for the isolation of aptamers based on its abundance and conservative structure, among other viral proteins. A total of 120 aptamers were obtained through 9 rounds of SELEX (Systematic Evolution of Ligands by Exponential Enrichment) from the ssDNA aptamer library, including the random 40-nucleotide ssDNA region between primer binding sites (GCCTGTTGTGAGCCTCCTAAC(N

Indexed as

Aptamers, NucleotideEarly DiagnosisHemorrhagic Fever, CrimeanHemorrhagic Fever Virus, Crimean-CongoHumansModels, MolecularNucleoproteinsRural HealthSELEX Aptamer TechniqueSensitivity and SpecificityAptamers, NucleotideNucleoproteins

Identifiers

PMID34135365
PMCPMC8209218
OpenAlexW3168396154

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.