Evidence map›Paper›PMID 37957653›Full record

ArticleBMC complementary medicine and therapies2023

Defining the landscape of patient harm after osteopathic manipulative treatment: synthesis of an adverse event model.

Mark D Unger, Jackilyn N Barr, Jacob A Brower, Joseph C Kingston, Gregory R Heller, Joy L Palmer

Open access · goldAbstract read
In one paragraph

Article in BMC complementary medicine and therapies, 2023. 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

6 authors at 1 institution in 1 country.

Mark D UngerOsteopathic Neuromusculoskeletal Medicine Residency, Graduate Medical Education Services, Liberty University College of Osteopathic Medicine, 2321 Wards Road, Lynchburg, VA, 24502, USA. mdunger@liberty.edu.
Jackilyn N BarrOsteopathic Neuromusculoskeletal Medicine Residency, Graduate Medical Education Services, Liberty University College of Osteopathic Medicine, 2321 Wards Road, Lynchburg, VA, 24502, USA.
Jacob A BrowerOsteopathic Neuromusculoskeletal Medicine Residency, Graduate Medical Education Services, Liberty University College of Osteopathic Medicine, 2321 Wards Road, Lynchburg, VA, 24502, USA.
Joseph C KingstonOsteopathic Neuromusculoskeletal Medicine Residency, Graduate Medical Education Services, Liberty University College of Osteopathic Medicine, 2321 Wards Road, Lynchburg, VA, 24502, USA.
Gregory R HellerDepartment of Osteopathic Manipulative Medicine and Osteopathic Principles and Practices, Liberty University College of Osteopathic Medicine, 306 Liberty View Lane, Lynchburg, VA, 24502, USA.
Joy L PalmerOsteopathic Neuromusculoskeletal Medicine Residency, Graduate Medical Education Services, Liberty University College of Osteopathic Medicine, 2321 Wards Road, Lynchburg, VA, 24502, USA.
Liberty University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn the United States, osteopathic manipulative treatment (OMT), is a popular complementary physical health approach for the treatment of neuromusculoskeletal disorders. However, post-OMT adverse events (AEs) are poorly defined in terms of frequency, severity, and temporal evolution. To date, no benchmark for patient safety exists. To improve understanding in this field, we set out to model the landscape of patient harm after OMT.

methodsWe conducted a comprehensive search of all available primary clinical research studies reporting on the occurrence of post-OMT AEs in nonpregnant, adult outpatients treated by an osteopathic physician in the United States. The methodology of eligible studies was then reviewed to select those containing the minimum required dataset to model the post-OMT AEs. The minimum required dataset consisted of four model parameters: 'post-OMT interval', 'OMT encounters with post-OMT interval assessment', 'AEs preceded by an OMT encounter', and 'AE severity.' We used the dataset extracted from selected studies to calculate a patient safety benchmark defined as the incidence rate of AEs per 100 post-OMT interval-days.

resultsFrom 212 manuscripts that we identified, 118 primary clinical research studies were assessed for eligibility. A total of 23 studies met inclusion criteria for methodological review, of which 13 studies passed and were selected for modeling. Mild AEs were the most frequent, accounting for n = 161/165 (98%) of total AEs observed in the literature. The cumulative incidence of mild AEs was also significantly greater (P = 0.01) than both moderate and severe grades. The benchmark incidence rate was 1.0 AEs per 100 post-OMT interval-days.

conclusionsThe majority of post-OMT AEs observed in the primary clinical literature were of mild severity. Modeling of the combined dataset on post-OMT AEs allowed for the derivation of a patient safety benchmark that, to date, has not been established in the field of osteopathic manipulative medicine. Additional research is needed to improve model resolution during the post-OMT period. This work conceptualized a model for identifying and grading post-OMT AEs, which should facilitate future comparisons between institutions in order to continually improve patient safety standards in the field of osteopathic manipulative medicine.

Indexed as

Manipulation, OsteopathicOsteopathic MedicineOsteopathic PhysiciansPatient HarmAdultHumansIncidenceUnited StatesAdverse eventAdverse event outcomeNeuromusculoskeletal medicineOsteopathic manipulative medicineOsteopathic manipulative treatmentOutpatientPainPatient safetyQualityUnited States

Identifiers

PMID37957653
PMCPMC10642050
OpenAlexW4388631348

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.