Evidence map›Paper›PMID 35228287›Full record

Observational studyBMJ open2022

Trends in characteristics and outcomes among US adults hospitalised with COVID-19 throughout 2020: an observational cohort study.

John H Page, Ajit A Londhe, Corinne Brooks, Jie Zhang, J Michael Sprafka, Corina Bennett, Megan Braunlin, Carolyn A Brown, Prista Charuworn, Alvan Cheng and 24 more

Abstract readObservational Study
In one paragraph

Observational study in BMJ open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Enhanced surveillance of hospitalised COVID-19 patients in Europe: I-MOVE-COVID-19 surveillance network, February 2020 to December 2021.Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin · 2023
    Article
  5. Article
  6. Article
  7. 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

34 authors.

John H PageCenter for Observational Research, Amgen Inc, Thousand Oaks, California, USA jopage@amgen.com.
Ajit A LondheCenter for Observational Research, Amgen Inc, Thousand Oaks, California, USA.
Corinne BrooksCenter for Observational Research, Amgen Inc, Thousand Oaks, California, USA.
Jie ZhangCenter for Observational Research, Amgen Inc, Thousand Oaks, California, USA.
J Michael SprafkaCenter for Observational Research, Amgen Inc, Thousand Oaks, California, USA.
Corina BennettCenter for Observational Research, Amgen Inc, Thousand Oaks, California, USA.
Megan BraunlinCenter for Observational Research, Amgen Inc, Thousand Oaks, California, USA.
Carolyn A BrownCenter for Observational Research, Amgen Inc, Thousand Oaks, California, USA.ORCID 0000-0002-9421-0185
Prista CharuwornInflammation, Global Development, Amgen Inc, Thousand Oaks, California, USA.
Alvan ChengCenter for Observational Research, Amgen Inc, Thousand Oaks, California, USA.
Karminder GillCenter for Observational Research, Amgen Inc, Thousand Oaks, California, USA.
Fang HeCenter for Observational Research, Amgen Inc, Thousand Oaks, California, USA.
Junjie MaCenter for Observational Research, Amgen Inc, Thousand Oaks, California, USA.ORCID 0000-0002-6249-876X
Jeffrey PetersenMedical Sciences, Amgen Inc, Thousand Oaks, California, USA.
Olulade AyodeleData Sciences Institute, Takeda Pharmaceutical Company Limited, Cambridge, Massachusetts, USA.
Ying BaoCenter for Observational Research and Data Science, Bristol-Myers Squibb, Princeton, New Jersey, USA.
Katherine B CarlsonCenter for Observational Research, Amgen Inc, Thousand Oaks, California, USA.
Shun-Chiao ChangData Sciences Institute, Takeda Pharmaceutical Company Limited, Cambridge, Massachusetts, USA.
Giovanna DevercelliData Sciences Institute, Takeda Pharmaceutical Company Limited, Cambridge, Massachusetts, USA.
Michele Jonsson-FunkEpidemiology, UNC Gillings School of Global Public Health, Chapel Hill, North Carolina, USA.
Jenny JiangCenter for Observational Research and Data Science, Bristol-Myers Squibb, Princeton, New Jersey, USA.
Hillary A KeenanData Sciences Institute, Takeda Pharmaceutical Company Limited, Cambridge, Massachusetts, USA.
Kaili RenData Sciences Institute, Takeda Pharmaceutical Company Limited, Cambridge, Massachusetts, USA.
Kimberly A RoehlCenter for Observational Research, Amgen Inc, Thousand Oaks, California, USA.
Lynn SandersData Sciences Institute, Takeda Pharmaceutical Company Limited, Cambridge, Massachusetts, USA.
Luyang WangData Sciences Institute, Takeda Pharmaceutical Company Limited, Cambridge, Massachusetts, USA.
Zhongyuan WeiCenter for Observational Research and Data Science, Bristol-Myers Squibb, Princeton, New Jersey, USA.
Qian XiaCenter for Observational Research and Data Science, Bristol-Myers Squibb, Princeton, New Jersey, USA.
Peter YuData Sciences Institute, Takeda Pharmaceutical Company Limited, Cambridge, Massachusetts, USA.
Linyun ZhouData Sciences Institute, Takeda Pharmaceutical Company Limited, Cambridge, Massachusetts, USA.
Julia ZhuCenter for Observational Research and Data Science, Bristol-Myers Squibb, Princeton, New Jersey, USA.ORCID 0000-0001-8210-8389
Kathleen GondekData Sciences Institute, Takeda Pharmaceutical Company Limited, Cambridge, Massachusetts, USA.
Cathy W CritchlowR&D Human Data, Amgen Inc, Thousand Oaks, California, USA.
Brian D BradburyCenter for Observational Research, Amgen Inc, Thousand Oaks, California, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo examine the temporal patterns of patient characteristics, treatments used and outcomes associated with COVID-19 in patients who were hospitalised for the disease between January and 15 November 2020.

designObservational cohort study.

settingCOVID-19 subset of the Optum deidentified electronic health records, including more than 1.8 million patients from across the USA.

participantsThere were 51 510 hospitalised patients who met the COVID-19 definition, with 37 617 in the laboratory positive cohort and 13 893 in the clinical cohort. PRIMARY AND SECONDARY OUTCOME MEASURES: Incident acute clinical outcomes, including in-hospital all-cause mortality.

resultsRespectively, 48% and 49% of the laboratory positive and clinical cohorts were women. The 50- 65 age group was the median age group for both cohorts. The use of antivirals and dexamethasone increased over time, fivefold and twofold, respectively, while the use of hydroxychloroquine declined by 98%. Among adult patients in the laboratory positive cohort, absolute age/sex standardised incidence proportion for in-hospital death changed by -0.036 per month (95% CI -0.042 to -0.031) from March to June 2020, but remained fairly flat from June to November, 2020 (0.001 (95% CI -0.001 to 0.003), 17.5% (660 deaths /3986 persons) in March and 10.2% (580/5137) in October); in the clinical cohort, the corresponding changes were -0.024 (95% CI -0.032 to -0.015) and 0.011 (95% CI 0.007 0.014), respectively (14.8% (175/1252) in March, 15.3% (189/1203) in October). Declines in the cumulative incidence of most acute clinical outcomes were observed in the laboratory positive cohort, but not for the clinical cohort.

conclusionThe incidence of adverse clinical outcomes remains high among COVID-19 patients with clinical diagnosis only. Patients with COVID-19 entering the hospital are at elevated risk of adverse outcomes.

Indexed as

COVID-19AdultCohort StudiesFemaleHospitalizationHospital MortalityHumansSARS-CoV-2COVID-19epidemiologypublic health

Identifiers

PMID35228287
PMCPMC8886119

What OpenQuestion holds

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Registered trials

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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.