Evidence map›Paper›PMID 30701701›Full record

ArticleBrain and behavior2019

Prediction of early response to overall treatment for schizophrenia: A functional magnetic resonance imaging study.

Long-Biao Cui, Min Cai, Xing-Rui Wang, Yuan-Qiang Zhu, Liu-Xian Wang, Yi-Bin Xi, Hua-Ning Wang, Xia Zhu, Hong Yin

Open access · goldAbstract read
In one paragraph

Article in Brain and behavior, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
3.3field-weighted citation impact, top 7% 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

24 citing papers in PubMed, 45 citations in OpenAlex.

  1. Trial
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  9. Frontal lobe fALFF measured from resting-state fMRI as a prognostic biomarker in first-episode psychosis.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2022
    Article
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  15. Neuroimaging Biomarkers in Schizophrenia.The American journal of psychiatry · 2021
    Review
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  17. Article
  18. Observational
  19. Article
  20. Neuroimaging in Schizophrenia.Neuroimaging clinics of North America · 2020
    Review
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

9 authors at 2 institutions in 1 country.

Long-Biao CuiDepartment of Radiology, Xijing Hospital, Fourth Military Medical University, Xi'an, China.ORCID 0000-0002-0784-181X
Min CaiDepartment of Psychiatry, Xijing Hospital, Fourth Military Medical University, Xi'an, China.
Xing-Rui WangDepartment of Radiology, Xijing Hospital, Fourth Military Medical University, Xi'an, China.
Yuan-Qiang ZhuDepartment of Radiology, Xijing Hospital, Fourth Military Medical University, Xi'an, China.ORCID 0000-0001-7685-1539
Liu-Xian WangDepartment of Radiology, Xijing Hospital, Fourth Military Medical University, Xi'an, China.
Yi-Bin XiDepartment of Radiology, Xijing Hospital, Fourth Military Medical University, Xi'an, China.
Hua-Ning WangDepartment of Psychiatry, Xijing Hospital, Fourth Military Medical University, Xi'an, China.
Xia ZhuSchool of Medical Psychology, Fourth Military Medical University, Xi'an, China.
Hong YinDepartment of Radiology, Xijing Hospital, Fourth Military Medical University, Xi'an, China.
Xijing Hospital · CNAir Force Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionTreatment response at an early stage of schizophrenia is of considerable value with regard to future management of the disorder; however, there are currently no biomarkers that can inform physicians about the likelihood of response. OBJECTS: We aim to develop and validate regional brain activity derived from functional magnetic resonance imaging (fMRI) as a potential signature to predict early treatment response in schizophrenia.

methodsAmplitude of low-frequency fluctuation (ALFF) was measured at the start of the first/single episode resulting in hospitalization. Inpatients were included in a principal dataset (n = 79) and a replication dataset (n = 44). Two groups of healthy controls (n = 87; n = 106) were also recruited for each dataset. The clinical response was assessed at discharge from the hospital. The predictive capacity of normalized ALFF in patients by healthy controls, ALFF

resultsIn the principal dataset, responders exhibited increased baseline ALFF in the left postcentral gyrus/inferior parietal lobule relative to non-responders. ALFF

conclusionsBaseline regional activity of the brain seems to be predictive of early response to treatment for schizophrenia. This study shows that psycho-neuroimaging holds promise for influencing the clinical treatment and management of schizophrenia.

Indexed as

HospitalizationSchizophreniaAdultBrainEpisode of CareFemaleHumansMagnetic Resonance ImagingMaleNeuroimagingOutcome Assessment, Health CarePrognosisROC CurveALFFfMRIpredictionresponseschizophreniatreatment

Identifiers

PMID30701701
PMCPMC6379641
OpenAlexW2911594672

What OpenQuestion holds

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LicenceCC BY
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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.