Evidence map›Paper›PMID 36349259›Full record

ArticleThe Lancet regional health. Southeast Asia2023

Breakthrough infections, hospital admissions, and mortality after major COVID-19 vaccination profiles: A prospective cohort study.

Mingkwan Wichaidit, Tanawin Nopsopon, Krittiyaporn Sunan, Phanupong Phutrakool, Puripant Ruchikachorn, Dittaya Wanvarie, Ploy Naruemon Pratanwanich, Nontawit Cheewaruangroj, Proadpran Punyabukkana, Krit Pongpirul

Abstract read
In one paragraph

Article in The Lancet regional health. Southeast Asia, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Observational
  3. Article
  4. Article
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  7. Review
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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

10 authors.

Mingkwan WichaiditInstitute of Dermatology, Department of Medical Services, Ministry of Public Health, Bangkok, Thailand.
Tanawin NopsoponSchool of Global Health and Department of Preventive and Social Medicine, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand.
Krittiyaporn SunanInstitute of Dermatology, Department of Medical Services, Ministry of Public Health, Bangkok, Thailand.
Phanupong PhutrakoolSchool of Global Health and Department of Preventive and Social Medicine, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand.
Puripant RuchikachornChulalongkorn Business School, Chulalongkorn University, Bangkok, Thailand.
Dittaya WanvarieDepartment of Mathematics and Computer Science, Faculty of Science, Chulalongkorn University, Bangkok, Thailand.
Ploy Naruemon PratanwanichDepartment of Mathematics and Computer Science, Faculty of Science, Chulalongkorn University, Bangkok, Thailand.
Nontawit CheewaruangrojGovernment Big Data Institute (GBDi), Digital Economy Promotion Agency, Ministry of Digital Economy and Society, Bangkok, Thailand.
Proadpran PunyabukkanaDepartment of Computer Engineering, Faculty of Engineering, Chulalongkorn University, Bangkok, Thailand.
Krit PongpirulSchool of Global Health and Department of Preventive and Social Medicine, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Several COVID-19 vaccination rollout strategies are implemented. Real-world data from the large-scale, government-mandated Central Vaccination Center (CVC), Thailand, could be used for comparing the breakthrough infection, across all available COVID-19 vaccination profiles. Methods: This prospective cohort study combined the vaccine profiles from the CVC registry with three nationally validated outcome datasets to assess the breakthrough COVID-19 infection, hospitalization, and death among Thais individuals who received at least one dose of the COVID-19 vaccine. The outcomes were analyzed by comparing vaccine profiles to investigate the shot effect and homologous effect. Findings: Of 2,407,315 Thais who had at least one dose of COVID-19 vaccine, 63,469 (2.75%) had breakthrough infection, 42,001 (1.79%) had been hospitalized, and 431 (0.02%) died. Per one vaccination shot added, there was an 18% risk reduction of breakthrough infection (adjusted hazard ratio [HR] 0.82, 95% confidence interval [CI] 0.80-0.82), a 25% risk reduction of hospitalization (HR 0.75, 95% CI 0.73-0.76), and a 96% risk reduction of mortality (HR 0.04, 95% CI 0.03-0.06). The heterologous two-shot vaccine profiles had a higher protective effect against infection, hospitalization, and mortality compared to the homologous counterparts. Interpretation: COVID-19 breakthrough infection, hospitalization, and death differ across vaccination profiles that had a different number of shots and types of vaccines. Funding: This study did not involve any funding.

Indexed as

AZ, ChAdOx1 nCoV-19, Vaxzevria, Cambridge, AstraZeneca, UKCo-Lab, Thai COVID-19 infection datasetCO-Ward, Thai COVID-19 hospitalization datasetCVC, central vaccination centerIgG, immunoglobulin GIN, inactivated vaccineMN, mRNA-1273, Moderna, NIAID, USAMR, mRNA vaccinePDPA, Personal Data Protection ActPEC, primary eligibiligy criteriaPZ, BNT162b2, Comirnaty, BioNTech, Mainz, GermanyRT-PCR, reverse transcription-polymerase chain reactionSP, Sinopharm, Beijing Institute of Biological Products, ChinaSV, CoronaVac, Sinovac Biotech, Beijing, ChinaVSDMC, Vaccine Safety and Data Monitoring CommitteeVV, viral vector vaccine

Identifiers

PMID36349259
PMCPMC9633626

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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.