Evidence map›Paper›PMID 21804541›Full record

ArticleNature medicine2011

Microfluidics-based diagnostics of infectious diseases in the developing world.

Curtis D Chin, Tassaneewan Laksanasopin, Yuk Kee Cheung, David Steinmiller, Vincent Linder, Hesam Parsa, Jennifer Wang, Hannah Moore, Robert Rouse, Gisele Umviligihozo and 8 more

Abstract readEvaluation Study
PubMed Publisher
In one paragraph

Article in Nature medicine, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 228 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
228citing papers in PubMed, 2 pooled it
40.6field-weighted citation impact, top 1% 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

228 citing papers in PubMed, 2 syntheses or guidelines pooled it, 747 citations in OpenAlex.

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168 more citing papers are in PubMed but not listed here.

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

18 authors at 3 institutions in 3 countries.

Curtis D ChinDepartment of Biomedical Engineering, Columbia University, New York, New York, USA.
Tassaneewan Laksanasopin
Yuk Kee Cheung
David Steinmiller
Vincent Linder
Hesam Parsa
Jennifer Wang
Hannah Moore
Robert Rouse
Gisele Umviligihozo
Etienne Karita
Lambert Mwambarangwe
Sarah L Braunstein
Janneke van de Wijgert
Ruben Sahabo
Jessica E Justman
Wafaa El-Sadr
Samuel K Sia
Columbia University · USRwanda Zambia HIV Research Group · RWUniversity of Amsterdam · NL

Funding

NIAID NIH HHS 1R41AI076187
6 · The paper itself

Abstract

One of the great challenges in science and engineering today is to develop technologies to improve the health of people in the poorest regions of the world. Here we integrated new procedures for manufacturing, fluid handling and signal detection in microfluidics into a single, easy-to-use point-of-care (POC) assay that faithfully replicates all steps of ELISA, at a lower total material cost. We performed this 'mChip' assay in Rwanda on hundreds of locally collected human samples. The chip had excellent performance in the diagnosis of HIV using only 1 μl of unprocessed whole blood and an ability to simultaneously diagnose HIV and syphilis with sensitivities and specificities that rival those of reference benchtop assays. Unlike most current rapid tests, the mChip test does not require user interpretation of the signal. Overall, we demonstrate an integrated strategy for miniaturizing complex laboratory assays using microfluidics and nanoparticles to enable POC diagnostics and early detection of infectious diseases in remote settings.

Indexed as

Communicable DiseasesDeveloping CountriesHIV InfectionsHumansImmunoassayMicrofluidicsRwandaSensitivity and SpecificitySyphilis

Identifiers

PMID21804541
OpenAlexW2141089321

What OpenQuestion holds

Textmetadata
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.