Evidence map›Paper›PMID 36514791›Full record

ReviewObstetric medicine2022

A review of COVID-19 therapeutics in pregnancy and lactation.

Sarah Cj Jorgensen, Najla Tabbara, Lisa Burry

Open access · hybridAbstract readReview
In one paragraph

Review in Obstetric medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
4.1field-weighted citation impact, top 6% 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

13 citing papers in PubMed, 22 citations in OpenAlex.

  1. Article
  2. Article
  3. Severe COVID-19 in pregnancy: evaluation of ventilatory outcomes on a 101-cases cohort.Revista do Instituto de Medicina Tropical de Sao Paulo · 2025
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Monoclonal Antibody Therapy of Breastfeeding Patient Infected with SARS-CoV-2: A Case Report.Breastfeeding medicine : the official journal of the Academy of Breastfeeding Medicine · 2023
    Article
  9. Article
  10. Article
  11. Severe COVID-19: Drugs and Clinical Trials.Journal of clinical medicine · 2023
    Review
  12. Review
  13. Review
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

3 authors at 1 institution in 1 country.

Sarah Cj JorgensenInstitute of Medical Science, Faculty of Medicine, University of Toronto, ON, Canada.ORCID https://orcid.org/0000-0003-1333-0378
Najla TabbaraDepartment of Pharmacy, Mount Sinai Hospital, Toronto, ON, Canada.ORCID https://orcid.org/0000-0002-8370-0381
Lisa BurryInstitute of Medical Science, Faculty of Medicine, University of Toronto, ON, Canada.
Mount Sinai Hospital · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pregnant people have an elevated risk of severe COVID-19-related complications compared to their non-pregnant counterparts, underscoring the need for safe and effective therapies. In this review, we summarize published data on COVID-19 therapeutics in pregnancy and lactation to help inform clinical decision-making about their use in this population. Although no serious safety signals have been raised for many agents, data clearly have serious limitations and there are many important knowledge gaps about the safety and efficacy of key therapeutics used for COVID-19. Moving forward, diligent follow-up and documentation of outcomes in pregnant people treated with these agents will be essential to advance our understanding. Greater regulatory push and incentives are needed to ensure studies to obtain pregnancy data are expedited.

Indexed as

bamlanivimabbaricitinibcasirivimabcorticosteroidsCOVID-19etesevimabimdevimab, monoclonal antibodieslactationRemdesivirsevere acute respiratory syndrome-coronavirus-2tocilizumab

Identifiers

PMID36514791
PMCPMC9732495
OpenAlexW4205847424

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.