Evidence map›Paper›PMID 36800256›Full record

ReviewJournal of the Chinese Medical Association : JCMA2023

Portable sensing devices for smart healthcare and prevention of lead poisoning.

Wei-Qun Lai, Ta-Chou Huang, Kung-Hao Liang, Yu-Fen Chang, De-Ming Yang

Open access · hybridAbstract readReview
In one paragraph

Review in Journal of the Chinese Medical Association : JCMA, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 55% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. 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 1 country.

Wei-Qun LaiMicroscopy Service Laboratory, Basic Research Division, Department of Medical Research, Taipei Veterans General Hospital, Taipei, Taiwan, ROC.
Ta-Chou HuangMicroscopy Service Laboratory, Basic Research Division, Department of Medical Research, Taipei Veterans General Hospital, Taipei, Taiwan, ROC.
Kung-Hao LiangLaboratory of Systems Biomedical Science, Department of Medical Research, Taipei Veterans General Hospital, Taipei, Taiwan, ROC.
Yu-Fen ChangLumiSTAR Biotechnology, Inc., Taipei, Taiwan, ROC.
De-Ming YangMicroscopy Service Laboratory, Basic Research Division, Department of Medical Research, Taipei Veterans General Hospital, Taipei, Taiwan, ROC.
National Yang Ming Chiao Tung University · TWTaipei Veterans General Hospital · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lead (Pb) poisoning can damage human bodies silently, without specific symptoms or conspicuous warning signs. To provide safe and user-friendly tools for detecting heavy metals at low concentrations, scientists have developed and optimized versatile biosensors. To practically employ the developed biosensors specific for Pb (eg, the optimized Met-lead 1.44 M1), smartphone applications designed for user convenience and are easily operable for the on-site detection of Pb in environmental water, drinking water, food, and blood/urine are urgently needed. To establish a monitoring system for home health maintenance, a portable device and useful apps installed on a smartphone can be integrated, and the data acquired can be sent to and stored in the cloud for further analysis and evidence preservation. With the high transmissions speeds for 4G and 4G wireless Internet, such a system can be applied for health protection; water-quality data can be provided by anyone and publicly shared for display on smartphone interfaces, alerting individuals of heavy metal contamination. In this review, we describe recent developments in heavy metal-sensing devices, including home health maintenance systems, which have been successfully and practically applied to prevent heavy metal Pb poisoning.

Indexed as

Lead PoisoningMetals, HeavyMobile ApplicationsHumansLeadWaterLeadMetals, HeavyWater

Identifiers

PMID36800256
PMCPMC12755621
OpenAlexW4321163843

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.