Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 302

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Presence of post-concussion syndrome symptoms in patients with chronic pain vs mild traumatic brain injury

Smith-Seemiller, Laura, Fow, Neil R., Kant, Ravi, Franzen, Michael D.·2003·Brain Injury

Abstract

PRIMARY OBJECTIVE: Post-concussion syndrome (PCS) is a controversial diagnosis, in part because many symptoms may be present in other conditions, such as chronic pain (CP). However, direct comparisons between people with CP and mild traumatic brain injury (MTBI) are limited. The purpose of this study was to compare people with CP and MTBI on a measure of PCS symptoms. DESIGN: Group comparison between patients with CP and MTBI on the Rivermead Post-Concussion Questionnaire (RPCQ). METHODS: Sixty-three patients with CP and 32 with MTBI were evaluated at the authors' institutions. Patients completed the RPCQ as part of their initial evaluation. RESULTS: No group differences were found for total RPCQ scores. There were some differences in the proportion of patients endorsing specific symptoms. However, most people with CP endorsed symptoms consistent with PCS. CONCLUSIONS: PCS symptoms are not unique to MTBI, and may be seen in conditions such as CP.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1080/0269905021000030823

Cites

1 of 1 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 1 references

Cited by

See all 302

Metadata

Authors
Smith-Seemiller, L., Fow, N. R., Kant, R., & Franzen, M. D.
Venue
Brain Injury
Published
2003-01
Volume
17
Issue
3
Pages
199-206
ISSN
  • 0269-9052 (ISSN-L)
  • 1362-301X
OpenAlex
W2170994594
Cited by
302
References
1
FWCI
4.71
Type
journal article
Language
en
Open access
closed

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Presence of post-concussion syndrome symptoms in patients with chronic pain vs mild traumatic brain injury. https://app.cochat.ai/papers/10.1080/0269905021000030823
The paper
Smith-Seemiller, L., Fow, N. R., Kant, R., & Franzen, M. D. (2003). Presence of post-concussion syndrome symptoms in patients with chronic pain vs mild traumatic brain injury. Brain Injury. https://doi.org/10.1080/0269905021000030823

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.