Evidence map›Paper›PMID 33414636›Full record

ReviewDrug design, development and therapy2020

Volumetric Absorptive Microsampling as a Sampling Alternative in Clinical Trials and Therapeutic Drug Monitoring During the COVID-19 Pandemic: A Review.

Yahdiana Harahap, Rasmina Diptasaadya, Denni Joko Purwanto

Open access · goldAbstract readReview
In one paragraph

Review in Drug design, development and therapy, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
1.9field-weighted citation impact, top 13% 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

18 citing papers in PubMed, 36 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

3 authors at 2 institutions in 1 country.

Yahdiana HarahapFaculty of Pharmacy, Universitas Indonesia, Depok, West Java 16424, Indonesia.ORCID 0000-0002-7217-7900
Rasmina DiptasaadyaFaculty of Pharmacy, Universitas Indonesia, Depok, West Java 16424, Indonesia.
Denni Joko PurwantoFunctional Medical Staff of Surgical Oncology, Dharmais Cancer Hospital, Jakarta 11420, Indonesia.ORCID 0000-0003-3609-7281
University of Indonesia · IDDharmais Cancer Hospital · ID

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

An infectious disease, COVID-19, caused by a new type of coronavirus, has been discovered recently. This disease can cause respiratory distress, fever, and fatigue. It still has no drug and vaccine for treatment and prevention. Therefore, WHO recommends that people should stay at home to reduce disease transmission. Due to the quarantine, FDA stated that this could hamper drug development clinical trial protocols. Hence, an alternative sampling method that can be applied at home is needed. Currently, volumetric absorptive microsampling (VAMS) has become attention in its use in clinical and bioanalytical fields. This paper discusses the advantages and challenges that might be found in the use of VAMS as an alternative sampling tool in clinical trials and therapeutic drug monitoring (TDM) during the COVID-19 pandemic. VAMS allows easy sampling, can be done at home, storage and delivery at room temperature, and the volume taken is small and minimally invasive. VAMS is also able to absorb a fixed volume that can increase the accuracy and precision of analytical methods, and reduce the hematocrit effects (HCT). The use of VAMS is expected to be implemented immediately in clinical trials and TDM during this pandemic considering the benefits it has.

Indexed as

SARS-CoV-2Clinical Trials as TopicCOVID-19Drug DevelopmentDrug DiscoveryDrug MonitoringHumansSpecimen Handlingclinical trialsCOVID-19drug developmentTDMtherapeutic drug monitoringVAMSvolumetric absorptive microsampling

Identifiers

PMID33414636
PMCPMC7783192
OpenAlexW3114389209

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.