Evidence map›Paper›PMID 24958229›Full record

ArticlePsychopharmacology2015

Decreased serum TNF-alpha levels in chronic schizophrenia patients on long-term antipsychotics: correlation with psychopathology and cognition.

Meng Han Lv, Yun Long Tan, Shao Xiao Yan, Li Tian, Da Chun Chen, Shu Ping Tan, Zhi Ren Wang, Fu De Yang, Jin H Yoon, Giovana B Zunta-Soares and 2 more

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Article in Psychopharmacology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed, 2 pooled it
–field-weighted citation impact
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

34 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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  13. Inflammation, Dopaminergic Brain and Bilirubin.International journal of molecular sciences · 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

12 authors.

Meng Han LvBeijing HuiLongGuan Hospital, Peking University, Beijing, China.
Yun Long Tan
Shao Xiao Yan
Li Tian
Da Chun Chen
Shu Ping Tan
Zhi Ren Wang
Fu De Yang
Jin H Yoon
Giovana B Zunta-Soares
Jair C Soares
Xiang Yang Zhang

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveA substantial body of evidence implicates TNF-alpha (TNFα) and TNFα-related signaling pathways in the pathophysiology of schizophrenia. The current study examined the relationship between TNFα serum levels and both psychopathological as well as cognitive symptoms in schizophrenia. MATERIALS AND

methodsSerum TNFα levels were assessed in 89 patients diagnosed with schizophrenia and compared to 43 healthy control subjects matched for age and gender. Schizophrenic symptomatology was assessed with the Positive and Negative Syndrome Scale (PANSS), and serum TNFα levels were measured by sandwich enzyme-linked immunosorbent assay (ELISA).

resultsTNFα levels were significantly lower in patients with chronic schizophrenia relative to healthy control subjects (p<0.01). Correlation analysis revealed a significant negative correlation between the TNFα levels and the PANSS total score (p<0.01). Additionally, TNFα levels were significantly negatively correlated with scores on general psychopathology (p<0.01), positive (p<0.05) and cognitive subscales (p<0.05). Stepwise multiple regression analysis identified TNFα levels as a significant predictor of scores on the general psychopathology subscale of the PANSS.

conclusionThe significant relations observed in the current study between TNFα and the PANSS and its subscales suggest that immune disturbance may be involved in the psychopathology and cognitive deficits of schizophrenia.

Indexed as

Schizophrenic PsychologyAdultAntipsychotic AgentsBiomarkersChronic DiseaseCognitionCohort StudiesDrug Administration ScheduleFemaleHumansMaleMiddle AgedPsychopathologySchizophreniaTime FactorsTumor Necrosis Factor-alphaAntipsychotic AgentsBiomarkersTumor Necrosis Factor-alpha

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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.