Evidence map›Paper›PMID 35078604›Full record

ReviewHandbook of clinical neurology2022

Better language through chemistry: Augmenting speech-language therapy with pharmacotherapy in the treatment of aphasia.

Melissa D Stockbridge

Open access · greenAbstract readReview
In one paragraph

Review in Handbook of clinical neurology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
8.9field-weighted citation impact, top 2% 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

14 citing papers in PubMed, 13 citations in OpenAlex.

  1. Trial
  2. Trial
  3. Article
  4. Review
  5. Review
  6. The molecular and cellular underpinnings of human brain lateralization.bioRxiv : the preprint server for biology · 2025
    Article
  7. Review
  8. Review
  9. Review
  10. Review
  11. Article
  12. Reversing the Ruin: Rehabilitation, Recovery, and Restoration After Stroke.Current neurology and neuroscience reports · 2022
    Review
  13. Review
  14. Article
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

1 author at 1 institution in 1 country.

Melissa D StockbridgeDepartment of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, United States. Electronic address: md.stockbridge@jhmi.edu.
Johns Hopkins University · US

Funding

Telerehab for Aphasia (TERRA)P50DC014664 · NIDCD · UNIVERSITY OF SOUTH CAROLINA AT COLUMBIA · PI FRIDRIKSSON, JULIUS · 2016 to 2025
$25.0M
NIDCD NIH HHS P50 DC014664
6 · The paper itself

Abstract

Speech and language therapy is the standard treatment of aphasia. However, many individuals have barriers in seeking this measure of extensive rehabilitation treatment. Investigating ways to augment therapy is key to improving poststroke language outcomes for all patients with aphasia, and pharmacotherapies provide one such potential solution. Although no medications are currently approved for the treatment of aphasia by the United States Food and Drug Administration, numerous candidate mechanisms for pharmaceutical manipulation continue to be identified based on our evolving understanding of the neurometabolic experience of stroke recovery across molecular, cellular, and functional levels of inquiry. This chapter will review evidence for catecholaminergic, glutamatergic, cholinergic, and serotonergic drug therapies and discuss future directions for both candidate drug selection and pharmacotherapy practice in people with aphasia.

Indexed as

AphasiaStrokeStroke RehabilitationHumansLanguage TherapySpeechSpeech TherapyAdjunctive therapyAmantadineDonepezilLevodopaMemantineNeural plasticityPharmacotherapySSRI

Identifiers

PMID35078604
PMCPMC11289691
OpenAlexW4206950585

What OpenQuestion holds

Textmetadata
LicenceTDM
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.