Evidence map›Paper›PMID 33511330›Full record

ReviewAdvances in biomarker sciences and technology2020

Biomarkers of COVID-19 and technologies to combat SARS-CoV-2.

Luoping Zhang, Helen Guo

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Advances in biomarker sciences and technology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 53 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
53citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

53 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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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

2 authors.

Luoping ZhangDivision of Environmental Health Sciences, School of Public Health, University of California, Berkeley, CA, 94720, USA.
Helen GuoDivision of Infectious Diseases and Vaccinology, School of Public Health, University of California, Berkeley, CA, 94720, USA.

Funding

Training CoreP42ES004705 · NIEHS · UNIVERSITY OF CALIFORNIA BERKELEY · PI MCHALE, CLIONA · 1987 to 2025
$74.6M
NIEHS NIH HHS P42 ES004705
6 · The paper itself

Abstract

Due to the unprecedented public health crisis caused by COVID-19, our first contribution to the newly launching journal,

Indexed as

ACE2, Angiotensin-converting enzyme 2ACEI, Angiotensin-converting enzyme inhibitorAI, Artificial intelligenceAIOD-CRISPR, All-In-One Dual CRISPR-Cas12aARB, Angiotensin receptor blockerARDS, Acute respiratory distress syndromecDNA, Complementary DNACoronavirusCOVIDCOVID-19, Coronavirus disease 2019CQ, ChloroquineCT, Computed tomographyDC, Dendritic cellDetectionDiagnosisELISA, Enzyme-linked immunosorbent assayEUA, Emergency use authorizationFDA, U.S. Food and Drug AdministrationGenOMICC, Genetics of Mortality in Critical CareHCQ, HydroxychloroquineLFAs, Lateral flow assaysLSPR, Localized surface plasmon resonancemAb, Monoclonal antibodyMERS, Middle East respiratory syndromeML, Machine learningNIAID, U.S. National Institute of Allergy and Infectious DiseasesNIH, National Institutes of HealthPAC-MAN, Prophylactic Antiviral CRISPR in huMAN cellsPCR, Polymerase chain reactionPCT, ProcalcitoninPreventionPrognosisRT-PCR, Reverse transcription polymerase chain reactionSaaS, Software as a ServiceSARS-CoV-2, SARS coronavirus type 2SARS, Severe acute respiratory syndromeTCM, Traditional Chinese medicineTreatmentUCB, University of California BerkeleyUCSF, University of California San Francisco

Identifiers

PMID33511330
PMCPMC7435336

What OpenQuestion holds

Textmetadata
LicenceTDM
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.