Evidence map›Paper›PMID 38854397›Full record

ArticleOpen forum infectious diseases2024

Viral SARS-CoV-2 Rebound Rates in Linked Commercial Pharmacy-Based Testing and Health Care Claims.

Scott P Kelly, Lisa M McEwen, Magnus Isaksson, Sarah Murphy, Simon White, Matthew E Levy, John T McCrone, Geraint Levan, Sharad Santhanam, Mary Lynn Baniecki and 6 more

Abstract read
In one paragraph

Article in Open forum infectious diseases, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

16 authors.

Scott P KellyPfizer Inc, New York, New York, USA.
Lisa M McEwenHelix Inc, San Mateo, California, USA.
Magnus IsakssonHelix Inc, San Mateo, California, USA.
Sarah MurphyHelix Inc, San Mateo, California, USA.
Simon WhiteHelix Inc, San Mateo, California, USA.
Matthew E LevyHelix Inc, San Mateo, California, USA.
John T McCroneHelix Inc, San Mateo, California, USA.
Geraint LevanHelix Inc, San Mateo, California, USA.
Sharad SanthanamHelix Inc, San Mateo, California, USA.
Mary Lynn BanieckiPfizer Inc, New York, New York, USA.
Candace BramsonPfizer Inc, Collegeville, Pennsylvania, USA.
Heather RubinoPfizer Inc, New York, New York, USA.
Vicky HendrickPfizer Inc, Sandwich, UK.
Holly SoaresPfizer Inc, New York, New York, USA.
Jennifer HammondPfizer Inc, Collegeville, Pennsylvania, USA.
Shishi LuoHelix Inc, San Mateo, California, USA.ORCID https://orcid.org/0000-0001-8887-0614

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Viral SARS-CoV-2 rebound (viral RNA rebound) is challenging to characterize in large cohorts due to the logistics of collecting frequent and regular diagnostic test results. Pharmacy-based testing data provide an opportunity to study the phenomenon in a large population, also enabling subgroup analyses. The current real-world evidence approach complements approaches focused on smaller, prospective study designs. Methods: We linked real-time reverse transcription quantitative polymerase chain reaction test data from national pharmacy-based testing to health care claims data via tokenization to calculate the cumulative incidence of viral RNA rebound within 28 days following positive test results in nirmatrelvir/ritonavir (NMV-r)-treated and untreated individuals during the Omicron era (December 2021-November 2022) and prior to the Omicron era (October 2020-November 2021). Results: Among 30 646 patients, the rate of viral RNA rebound was 3.5% (95% CI, 2.0%-5.7%) in NMV-r-treated infections as compared with 1.5% (95% CI, 1.3%-1.7%) in untreated infections during the Omicron era and 1.9% (95% CI, 1.7%-2.1%) prior to the Omicron era. Viral RNA rebound in patients who were vaccinated (n = 8151), high risk (n = 4411), or older (≥65 years, n = 4411) occurred at comparable rates to the overall cohort (range, 1.1%-4.8%). Viral rebounds to high RNA levels in NMV-r-treated infections occurred in 8% of viral rebounds as compared with 5% to 11% in untreated infections. Rates of hospitalization were comparable between patients with NMV-r-treated infections with viral RNA rebound (0%) and untreated patients with viral RNA rebound (0%-1.2%). Conclusions: Our findings suggest viral RNA rebound is rare (< 5%), with rates that were consistent with those from the EPIC-HR trial (Evaluation of Protease Inhibition for COVID-19 in High-Risk Patients). Most occurrences of viral RNA rebound were associated with low viral RNA levels, and viral RNA rebound progression to severe disease was not observed.

Indexed as

antiviralsCOVID-19real-world evidencereboundSARS-COV-2tokenization

Identifiers

PMID38854397
PMCPMC11161861

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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.