Evidence map›Paper›PMID 37389600›Full record

ArticleAnalytical and bioanalytical chemistry2023

Point-of-care diagnostics for rapid determination of prostate cancer biomarker sarcosine: application of disposable potentiometric sensor based on oxide-conductive polymer nanocomposite.

Hend Z Yamani, Nardine Safwat, Amr M Mahmoud, Miriam F Ayad, Maha F Abdel-Ghany, Mohammed M Gomaa

Open access · hybridAbstract read
In one paragraph

Article in Analytical and bioanalytical chemistry, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
4.2field-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

6 citing papers in PubMed, 24 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

6 authors at 3 institutions in 1 country.

Hend Z YamaniPharmaceutical Analytical Chemistry Department, Faculty of Pharmacy, Ain Shams University, Cairo, 11566, Egypt.
Nardine SafwatPharmaceutical Analytical Chemistry Department, Faculty of Pharmacy, Ain Shams University, Cairo, 11566, Egypt. nardine.safwat2@pharma.asu.edu.eg.ORCID http://orcid.org/0000-0001-9675-3346
Amr M MahmoudPharmaceutical Analytical Chemistry Department, Faculty of Pharmacy, Cairo University, Cairo, 11562, Egypt. amr.bekhet@pharma.cu.edu.eg.
Miriam F AyadPharmaceutical Analytical Chemistry Department, Faculty of Pharmacy, Ain Shams University, Cairo, 11566, Egypt.
Maha F Abdel-GhanyPharmaceutical Analytical Chemistry Department, Faculty of Pharmacy, Ain Shams University, Cairo, 11566, Egypt.
Mohammed M GomaaSolid State Physics Department, National Research Centre, Giza, 12622, Egypt.
Ain Shams University · EGCairo University · EGNational Research Centre · EG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

One of the most important reasons for an increased mortality rate of cancer is late diagnosis. Point-of-care (POC) diagnostic sensors can provide rapid and cost-effective diagnosis and monitoring of cancer biomarkers. Portable, disposable, and sensitive sarcosine solid-contact ion-selective potentiometric sensors (SC-ISEs) were fabricated as POC analyzers for the rapid determination of the prostate cancer biomarker sarcosine. Tungsten trioxide nanoparticles (WO

Indexed as

NanocompositesProstatic NeoplasmsBiomarkers, TumorHumansMaleOxidesPoint-of-Care TestingPolymersProstateSarcosineBiomarkers, TumorOxidesPolymersSarcosineIon-to-electron transducersPoint-of-care diagnosticsPolyaniline-tungsten trioxide nanocompositeSarcosine ion-selective electrodeSolid contact sensorsTungsten trioxide nanoparticles

Identifiers

PMID37389600
PMCPMC10444660
OpenAlexW4382631956

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.