Evidence map›Paper›PMID 39964106›Full record

Observational studyEmerging microbes & infections2025

Effectiveness of nirmatrelvir/ritonavir and molnupiravir on post-COVID-19 outcomes among outpatients: a target trial emulation investigation.

Yuchen Wei, Christopher Boyer, Katherine Min Jia, Guozhang Lin, Huwen Wang, Conglu Li, Chi Tim Hung, Xiaoting Jiang, Carrie Ho Kwan Yam, Tsz Yu Chow and 9 more

Abstract readObservational Study
In one paragraph

Observational study in Emerging microbes & infections, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

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

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. 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

19 authors.

Yuchen WeiCentre for Health Systems and Policy Research, School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong, Hong Kong Special Administrative Region of China.
Christopher BoyerCenter for Communicable Disease Dynamics, Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Katherine Min JiaCenter for Communicable Disease Dynamics, Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Guozhang LinCentre for Health Systems and Policy Research, School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong, Hong Kong Special Administrative Region of China.
Huwen WangCentre for Health Systems and Policy Research, School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong, Hong Kong Special Administrative Region of China.
Conglu LiCentre for Health Systems and Policy Research, School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong, Hong Kong Special Administrative Region of China.
Chi Tim HungCentre for Health Systems and Policy Research, School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong, Hong Kong Special Administrative Region of China.
Xiaoting JiangCentre for Health Systems and Policy Research, School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong, Hong Kong Special Administrative Region of China.
Carrie Ho Kwan YamCentre for Health Systems and Policy Research, School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong, Hong Kong Special Administrative Region of China.
Tsz Yu ChowCentre for Health Systems and Policy Research, School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong, Hong Kong Special Administrative Region of China.
Yawen WangDivision of Landscape Architecture, Department of Architecture, Faculty of Architecture, The University of Hong Kong, Hong Kong, Hong Kong Special Administrative Region of China.
Shi ZhaoCentre for Health Systems and Policy Research, School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong, Hong Kong Special Administrative Region of China.
Zihao GuoCentre for Health Systems and Policy Research, School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong, Hong Kong Special Administrative Region of China.
Kehang LiCentre for Health Systems and Policy Research, School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong, Hong Kong Special Administrative Region of China.
Aimin YangDepartment of Medicine & Therapeutics, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong, Hong Kong Special Administrative Region of China.
Chris Ka Pun MokLi Ka Shing Institute of Health Sciences, Chinese University of Hong Kong, Hong Kong, Hong Kong Special Administrative Region of China.
David S C HuiS.H. Ho Research Centre for Infectious Diseases, Chinese University of Hong Kong, Hong Kong, Hong Kong Special Administrative Region of China.
Ka Chun ChongCentre for Health Systems and Policy Research, School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong, Hong Kong Special Administrative Region of China.
Eng Kiong YeohCentre for Health Systems and Policy Research, School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong, Hong Kong Special Administrative Region of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Limited studies compared the effectiveness of nirmatrelvir/ritonavir and molnupiravir against a control group on post-COVID-19 conditions. Our study examined the association of nirmatrelvir/ritonavir and molnupiravir with post-acute mortality and hospitalizations among outpatients using real-world outpatient records of COVID-19 designated clinics in Hong Kong. This is an observational study using a target trial emulation framework, involving nirmatrelvir-ritonavir versus no antiviral treatment (Trial 1) and molnupiravir versus no antiviral treatment (Trial 2). Outcomes included post-acute mortality, all-cause hospitalization, and hospitalization due to 13 selected sequelae. Relative effectiveness was assessed by comparing the cumulative incidence between two groups, reported as relative risk (RR), along with risk differences (RD) during day 0-30, 31-180, and 181-360. After screening, 140,477 and 96,030 patients were included in Trial 1 and 2, respectively. Compared with no treatment, nirmatrelvir/ritonavir-treated patients exhibited a significantly lower risk of post-acute mortality (31-180 days: RR, 0.71; 95% CI, 0.54-0.96; RD, 0.20%; 181-360 days: RR, 0.64; 95% CI, 0.50-0.82; RD, 0.32%) and all-cause hospitalization (31-180 days: RR, 0.82; 95% CI, 0.76-0.88; RD, 1.11%; 181-360 days: RR, 0.83; 95% CI, 0.78-0.89; RD, 1.18%). Patients receiving molnupiravir had a lower risk of 30-day mortality, but no significant beneficial effect was observed for the post-acute outcomes. In conclusion, this study demonstrated the effectiveness of nirmatrelvir/ritonavir in reducing post-COVID-19 outcomes among outpatients. While we observed the short-term effectiveness of molnupiravir in reducing mortality, no protective effect on long-term post-COVID-19 outcomes was observed.

Indexed as

Antiviral AgentsCOVID-19COVID-19 Drug TreatmentCytidineHydroxylaminesProlineRitonavirAdultAgedDrug CombinationsFemaleHong KongHospitalizationHumansLactamsLeucineAntiviral AgentsCytidineDrug CombinationsHydroxylaminesLactamsLeucinemolnupiravirnirmatrelvirNitrilesProlineRitonavirmolnupiravirnirmatrelvir/ritonavirPost-COVID-19 outcomestarget trial emulation

Identifiers

PMID39964106
PMCPMC11881657

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.