Evidence map›Paper›PMID 35636819›Full record

ReviewClinics in laboratory medicine2022

The Successes and Challenges of SARS-CoV-2 Molecular Testing in the United States.

Jennifer Dien Bard, N Esther Babady

Open access · greenAbstract readReview
In one paragraph

Review in Clinics in laboratory medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.5field-weighted citation impact, top 16% 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

12 citing papers in PubMed, 16 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Coupling wastewater-based epidemiology with data-driven machine learning for managing public health risks.Risk analysis : an official publication of the Society for Risk Analysis · 2025
    Article
  5. Finding the MissingAntibiotics (Basel, Switzerland) · 2025
    Article
  6. Article
  7. Observational
  8. Review
  9. Review
  10. Article
  11. Article
  12. 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

2 authors at 2 institutions in 1 country.

Jennifer Dien BardDepartment of Pathology and Laboratory Medicine, Children's Hospital Los Angeles, 4650 Sunset Blvd, MS#32, Los Angeles, CA 90027, USA; Department of Pathology, Keck School of Medicine of the University of Southern California, Los Angeles, CA, USA. Electronic address: jdienbard@chla.usc.edu.
N Esther BabadyClinical Microbiology Service, Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, 327 East 64th Street, CLM-522, NY 10065, USA; Infectious Disease Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Children's Hospital of Los Angeles · USMemorial Sloan Kettering Cancer Center · US

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Hongbiao Carl Lekaye · 1985 to 2026
$347.4M
NCI NIH HHS P30 CA008748
6 · The paper itself

Abstract

SARS-CoV-2 was identified and diagnostic methods developed at an impressive speed due in great part to the wider use of molecular methods in 2019 compared with 2002 during the SARS pandemic. The development of rapid and novel molecular diagnostic assays, leveraging of the high adaptability of molecular tests, and the integration of SARS-CoV-2 genotyping into public health, clinical, and research laboratories have been some of the successes in SARS-CoV-2 molecular testing. The main challenges are related to regulatory hurdles, supply chain constraints, and laboratory preparation.

Indexed as

COVID-19SARS-CoV-2HumansMolecular Diagnostic TechniquesPandemicsPublic HealthUnited StatesChallengesCOVID-19MolecularSARS-CoV-2Successes

Identifiers

PMID35636819
PMCPMC8901381
OpenAlexW4221130082

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.