Evidence map›Paper›PMID 32682393›Full record

ArticleThe journal of headache and pain2020

Patients with chronic migraine without history of medication overuse are characterized by a peculiar white matter fiber bundle profile.

Gianluca Coppola, Antonio Di Renzo, Emanuele Tinelli, Barbara Petolicchio, Cherubino Di Lorenzo, Vincenzo Parisi, Mariano Serrao, Valentina Calistri, Stefano Tardioli, Gaia Cartocci and 3 more

Open access · goldAbstract read
In one paragraph

Article in The journal of headache and pain, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
2.2field-weighted citation impact, top 10% 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

17 citing papers in PubMed, 1 synthesis or guideline pooled it, 30 citations in OpenAlex.

  1. Pooled it
  2. Diffusion tensor imaging in chronic tension-type headache.Frontiers in pain research (Lausanne, Switzerland) · 2026
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  11. Frontiers in neuroscience · 2023
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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

13 authors at 4 institutions in 1 country.

Gianluca CoppolaDepartment of Medico-Surgical Sciences and Biotechnologies, Sapienza University of Rome Polo Pontino, Latina, Italy.
Antonio Di RenzoIRCCS - Fondazione Bietti, Research Unit of Neurophysiology of Vision and Neuro-Ophthalmology, Via Livenza 3, 00198, Rome, Italy.
Emanuele TinelliDepartment of Human Neurosciences, Sapienza University of Rome, Rome, Italy.
Barbara PetolicchioDepartment of Human Neurosciences, Sapienza University of Rome, Rome, Italy.
Cherubino Di LorenzoDepartment of Medico-Surgical Sciences and Biotechnologies, Sapienza University of Rome Polo Pontino, Latina, Italy.
Vincenzo ParisiIRCCS - Fondazione Bietti, Research Unit of Neurophysiology of Vision and Neuro-Ophthalmology, Via Livenza 3, 00198, Rome, Italy. vincenzo.parisi@fondazionebietti.it.
Mariano SerraoDepartment of Medico-Surgical Sciences and Biotechnologies, Sapienza University of Rome Polo Pontino, Latina, Italy.
Valentina CalistriDepartment of Human Neurosciences, Sapienza University of Rome, Rome, Italy.
Stefano TardioliDepartment of Human Neurosciences, Sapienza University of Rome, Rome, Italy.
Gaia CartocciDepartment of Human Neurosciences, Sapienza University of Rome, Rome, Italy.
Francesca CaramiaDepartment of Human Neurosciences, Sapienza University of Rome, Rome, Italy.
Vittorio Di PieroDepartment of Human Neurosciences, Sapienza University of Rome, Rome, Italy.
Francesco PierelliDepartment of Medico-Surgical Sciences and Biotechnologies, Sapienza University of Rome Polo Pontino, Latina, Italy.
Sapienza University of Rome · ITFondazione G.B. Bietti · ITIstituti di Ricovero e Cura a Carattere Scientifico · ITIstituto Neurologico Mediterraneo · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWe investigated intracerebral fiber bundles using a tract-based spatial statistics (TBSS) analysis of diffusion tensor imaging (DTI) data to verify microstructural integrity in patients with episodic (MO) and chronic migraine (CM).

methodsWe performed DTI in 19 patients with MO within interictal periods, 18 patients with CM without any history of drug abuse, and 18 healthy controls (HCs) using a 3 T magnetic resonance imaging scanner. We calculated diffusion metrics, including fractional anisotropy (FA), axial diffusion (AD), radial diffusion (RD), and mean diffusion (MD).

resultsTBSS revealed no significant differences in the FA, MD, RD, and AD maps between the MO and HC groups. In comparison to the HC group, the CM group exhibited widespread increased RD (bilateral superior [SCR] and posterior corona radiata [PCR], bilateral genu of the corpus callosum [CC], bilateral posterior limb of internal capsule [IC], bilateral superior longitudinal fasciculus [LF]) and MD values (tracts of the right SCR and PCR, right superior LF, and right splenium of the CC). In comparison to the MO group, the CM group showed decreased FA (bilateral SCR and PCR, bilateral body of CC, right superior LF, right forceps minor) and increased MD values (bilateral SCR and right PCR, right body of CC, right superior LF, right splenium of CC, and right posterior limb of IC).

conclusionOur results suggest that chronic migraine can be associated with the widespread disruption of normal white matter integrity in the brain.

Indexed as

Prescription Drug OveruseAdultBrainDiffusion Tensor ImagingFemaleHumansMaleMiddle AgedMigraine DisordersNerve NetProspective StudiesWhite MatterChronic painDescending pain controlDiffusive metricsMicrostructureMigraineWhite matter

Identifiers

PMID32682393
PMCPMC7368770
OpenAlexW3042516115

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.