Evidence map›Paper›PMID 40627388›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2025

Patient-reported treatment outcomes in ME/CFS and long COVID.

Martha Eckey, Peng Li, Braxton Morrison, Jonas Bergquist, Ronald W Davis, Wenzhong Xiao

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

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

  1. Domain-specific effects of NADFrontiers in nutrition · 2026
    Pooled it
  2. VSL#3British journal of biomedical science · 2026
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  4. Item comprehension and content coverage of patient-reported outcome measures for long COVID: a qualitative study.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2026
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Martha Eckey *Computational Research Center for Complex Chronic Diseases, Center for Engineering in Medicine and Surgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114.
Peng Li *Computational Research Center for Complex Chronic Diseases, Center for Engineering in Medicine and Surgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114.
Braxton MorrisonComputational Research Center for Complex Chronic Diseases, Center for Engineering in Medicine and Surgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114.
Jonas BergquistThe Myalgic Encephalomyelitis/Chronic Fatigue Syndrome Collaborative Research Centre, Department of Chemistry - BMC, Uppsala University, Uppsala 751 24, Sweden.ORCID 0000-0002-4597-041X
Ronald W DavisMyalgic Encephalomyelitis/Chronic Fatigue Syndrome Collaborative Research Center, Stanford University School of Medicine, Palo Alto, CA 94304.ORCID 0000-0003-3123-2333
Wenzhong XiaoComputational Research Center for Complex Chronic Diseases, Center for Engineering in Medicine and Surgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114.

Funding

Open Medicine Foundation (OMF) 230275
6 · The paper itself

Abstract

Myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) and long COVID are persistent multisystem illnesses affecting many patients. With no known effective FDA-approved treatments for either condition, patient-reported outcomes of treatments may prove helpful in identifying management strategies that can improve patient care and generate new avenues for research. Here, we present the results of an ME/CFS and long COVID treatment survey with responses from 3,925 patients. We assess the experiences of these patients with more than 150 treatments in conjunction with their demographics, symptoms, and comorbidities. Treatments with the greatest perceived benefits are identified. Patients with each condition who participated in the study shared similar symptom profiles, including all the core symptoms of ME/CFS, e.g., 89.7% of ME/CFS and 79.4% of long COVID reported postexertional malaise (PEM). Furthermore, treatment responses between these two patient groups were significantly correlated (R

Indexed as

COVID-19Fatigue Syndrome, ChronicPatient Reported Outcome MeasuresAdultAgedFemaleHumansMaleMiddle AgedPost-Acute COVID-19 SyndromeSARS-CoV-2Surveys and QuestionnairesTreatment Outcomelong COVIDME/CFSpatient-reported outcomesreal-world evidencetreatments

Identifiers

PMID40627388
PMCPMC12280984

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.