Evidence map›Paper›PMID 36201764›Full record

ArticleObstetrics and gynecology2022

Medically Attended Influenza During Pregnancy in the 2019-2020 and 2020-2021 Influenza Seasons.

Stephanie A Irving, Elizabeth Shuster, Jillian T Henderson, De-Kun Li, Jeannette Ferber, Roxana Odouli, Flor M Munoz, Erin Nicholson, Louise Hadden, Mary Juergens and 7 more

Abstract readLetter
In one paragraph

Article in Obstetrics and gynecology, 2022. 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, top 81% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

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

17 authors at 1 institution in 1 country.

Stephanie A IrvingKaiser Permanente Center for Health Research, Portland Oregon; Kaiser Permanente Northern California, Oakland California Baylor College of Medicine, Houston Texas; Abt Associates, Rockville Maryland; and the Influenza Division, Centers for Disease Control and Prevention, Atlanta Georgia.
Elizabeth Shuster
Jillian T Henderson
De-Kun Li
Jeannette Ferber
Roxana Odouli
Flor M Munoz
Erin Nicholson
Louise Hadden
Mary Juergens
Gabriella Newes-Adeyi
Lawrence Reichle
Carmen Sofia Arriola
Fatimah S Dawood
Michael Daugherty
Kristina Wielgosz
Allison L Naleway
Kaiser Permanente · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Influenza testing and case-confirmation rates in pregnant populations have not been reported during the coronavirus disease 2019 (COVID-19) pandemic. Using electronic medical record data from a cohort of nearly 20,000 pregnancies in the United States, this retrospective cohort study examines the frequency of acute respiratory or febrile illness encounters, influenza testing, and influenza positivity during the 2020-2021 influenza season, which occurred during the COVID-19 pandemic, compared with the 2019-2020 influenza season, which largely did not. The ratios of influenza tests to acute respiratory or febrile illness visits were similar in the 2019-2020 and 2020-2021 influenza seasons (approximately 1:8 and 1:9, respectively) but were low and varied by study site. Although influenza testing in pregnant patients continued in the 2020-2021 season, when severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) circulation was widespread in the United States, no cases of influenza were identified in our study cohort.

Indexed as

COVID-19Influenza, HumanFemaleHumansPandemicsPregnancyRetrospective StudiesSARS-CoV-2SeasonsUnited States

Identifiers

PMID36201764
PMCPMC13285394
OpenAlexW4302774706

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.