Evidence map›Paper›PMID 35474746›Full record

ArticleCell reports. Medicine2022

Treating COVID-19: Evolving approaches to evidence in a pandemic.

Cheryl K Lee, Louis T Merriam, Jeffrey C Pearson, Michael S Lipnick, William McKleroy, Edy Y Kim

Abstract readNews
In one paragraph

Article in Cell reports. Medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

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

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

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Review
  6. Article
  7. 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

6 authors.

Cheryl K LeeDivision of Hospital Medicine, Department of Medicine, Northwestern Memorial Hospital, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.
Louis T MerriamDivision of Pulmonary and Critical Care Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA.
Jeffrey C PearsonDepartment of Pharmacy, Brigham and Women's Hospital, Boston, MA, USA.
Michael S LipnickDepartment of Anesthesia, University of California, San Francisco, San Francisco, CA, USA.
William McKleroyDivision of Pulmonary, Critical Care, Allergy, and Sleep Medicine, Department of Medicine, University of California, San Francisco, San Francisco, CA, USA.
Edy Y KimDivision of Pulmonary and Critical Care Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The rapid pace of the COVID-19 pandemic precluded traditional approaches to evaluating clinical research and guidelines. We highlight notable successes and pitfalls of clinicians' new approaches to managing evidence amidst an unprecedented crisis. In "Era 1" (early 2020), clinicians relied on anecdote and social media, which democratized conversations on guidelines, but also led clinicians astray. "Era 2" (approximately late 2020 to early 2021) saw preprints that accelerated new interventions but suffered from a surfeit of poor-quality data. In the current era, clinicians consolidate the evidentiary gains of Era 2 with living, online clinical guidelines, but the public suffers from misinformation. The COVID-19 pandemic is a laboratory on how clinicians adapt to an absence of clinical guidance amidst an informational and healthcare crisis. Challenges remain as we integrate new approaches to innovations made in the traditional guideline process to confront both the long tail of COVID-19 and future pandemics.

Indexed as

COVID-19Social MediaCommunicationHumansPandemics

Identifiers

PMID35474746
PMCPMC8826498

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.