Evidence map›Paper›PMID 37055567›Full record

ArticleNature medicine2023

Potential pitfalls in the use of real-world data for studying long COVID.

Harrison G Zhang, Jacqueline P Honerlaw, Monika Maripuri, Malarkodi Jebathilagam Samayamuthu, Brendin R Beaulieu-Jones, Huma S Baig, Sehi L'Yi, Yuk-Lam Ho, Michele Morris, Vidul Ayakulangara Panickan and 15 more

Abstract readLetter
In one paragraph

Article in Nature medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing 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

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

  1. Pooled it
  2. Observational
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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

25 authors.

Harrison G ZhangDepartment of Biomedical Informatics, Harvard Medical School, Boston, MA, USA.ORCID http://orcid.org/0000-0001-6679-1464
Jacqueline P HonerlawMassachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, MA, USA.ORCID http://orcid.org/0000-0002-5872-359X
Monika MaripuriMassachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, MA, USA.
Malarkodi Jebathilagam SamayamuthuDepartment of Biomedical Informatics, University of Pittsburgh, Pittsburgh, PA, USA.
Brendin R Beaulieu-JonesDepartment of Biomedical Informatics, Harvard Medical School, Boston, MA, USA.
Huma S BaigDepartment of Surgery, Beth Israel Deaconess Medical Center, Boston, MA, USA.
Sehi L'YiDepartment of Biomedical Informatics, Harvard Medical School, Boston, MA, USA.ORCID http://orcid.org/0000-0001-7720-2848
Yuk-Lam HoMassachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, MA, USA.ORCID http://orcid.org/0000-0003-3305-3830
Michele MorrisDepartment of Biomedical Informatics, University of Pittsburgh, Pittsburgh, PA, USA.
Vidul Ayakulangara PanickanDepartment of Biomedical Informatics, Harvard Medical School, Boston, MA, USA.ORCID http://orcid.org/0000-0003-0616-0403
Xuan WangDepartment of Biomedical Informatics, Harvard Medical School, Boston, MA, USA.
Griffin M WeberDepartment of Biomedical Informatics, Harvard Medical School, Boston, MA, USA.
Katherine P LiaoMassachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, MA, USA.ORCID http://orcid.org/0000-0002-4797-3200
Shyam VisweswaranDepartment of Biomedical Informatics, University of Pittsburgh, Pittsburgh, PA, USA.ORCID http://orcid.org/0000-0002-2079-8684
Bryce W Q TanDepartment of Medicine, National University Hospital, Singapore, Singapore, Singapore.
William YuanDepartment of Biomedical Informatics, Harvard Medical School, Boston, MA, USA.
Nils GehlenborgDepartment of Biomedical Informatics, Harvard Medical School, Boston, MA, USA.
Sumitra MuralidharOffice of Research and Development, US Department of Veterans Affairs, Washington DC, USA.
Rachel B RamoniOffice of Research and Development, US Department of Veterans Affairs, Washington DC, USA.
Consortium for Clinical Characterization of COVID-19 by EHR (4CE)
Isaac S Kohane *Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA.ORCID http://orcid.org/0000-0003-2192-5160
Zongqi Xia *Department of Neurology, University of Pittsburgh, Pittsburgh, PA, USA.ORCID http://orcid.org/0000-0003-1500-2589
Kelly Cho *Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, MA, USA.
Tianxi Cai *Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA.ORCID http://orcid.org/0000-0002-5379-2502
Gabriel A Brat *Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA. gbrat@bidmc.harvard.edu.

Funding

Michigan Institute for Clinical and Health Research (MICHR)UM1TR004404 · NCATS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Julie C Lumeng · 2023 to 2026
$39.8M
RESEARCH TRAINING-MEDICAL INFORMATICS 90T15LM007092 · NLM · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI Nils Gehlenborg · 1992 to 2026
$32.8M
Leveraging electronic health records to optimize treatment selection and response in multiple sclerosisR01NS098023 · NINDS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Zongqi Xia · 2016 to 2026
$4.6M
Biases introduced by filtering electronic health records for patients with "complete data"R01LM013345 · NLM · HARVARD MEDICAL SCHOOL · PI WEBER, GRIFFIN M · 2020 to 2023
$1.4M
Real-world impact of the COVID-19 pandemic in people with multiple sclerosisR01NS124882 · NINDS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI XIA, ZONGQI · 2022 to 2024
$1.2M
British Heart Foundation FS/19/52/34563NCATS NIH HHS UM1 TR004404NINDS NIH HHS R01 NS098023NINDS NIH HHS R01 NS124882NLM NIH HHS R01 LM013345NLM NIH HHS T15 LM007092
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

COVID-19HumansPost-Acute COVID-19 SyndromeResearch

Identifiers

PMID37055567
PMCPMC10205658

What OpenQuestion holds

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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.