Evidence map›Paper›PMID 30621635›Full record

ArticleBMC psychiatry2019

Gender-disease interaction on brain cerebral metabolism in cancer patients with depressive symptoms.

Zhijun Yao, Lei Fang, Yue Yu, Zhe Zhang, Weihao Zheng, Zhihao Li, Yuan Li, Yu Zhao, Tao Hu, Zicheng Zhang and 1 more

Open access · goldAbstract read
In one paragraph

Article in BMC psychiatry, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.3field-weighted citation impact, top 36% 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

4 citing papers in PubMed, 7 citations in OpenAlex.

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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

11 authors at 3 institutions in 1 country.

Zhijun YaoGansu Provincal Key Laboratory of Wearable Computing, Lanzhou University, Lanzhou, Gansu Province, 730000, People's Republic of China.
Lei FangPET/CT Center, Affiliated Lanzhou General Hospital of Lanzhou Military Area Command, 333 South Binhe Road, Lanzhou, 730050, Gansu Province, People's Republic of China.
Yue YuGansu Provincal Key Laboratory of Wearable Computing, Lanzhou University, Lanzhou, Gansu Province, 730000, People's Republic of China.
Zhe ZhangGansu Provincal Key Laboratory of Wearable Computing, Lanzhou University, Lanzhou, Gansu Province, 730000, People's Republic of China.
Weihao ZhengGansu Provincal Key Laboratory of Wearable Computing, Lanzhou University, Lanzhou, Gansu Province, 730000, People's Republic of China.
Zhihao LiGansu Provincal Key Laboratory of Wearable Computing, Lanzhou University, Lanzhou, Gansu Province, 730000, People's Republic of China.
Yuan LiGansu Provincal Key Laboratory of Wearable Computing, Lanzhou University, Lanzhou, Gansu Province, 730000, People's Republic of China.
Yu ZhaoGansu Provincal Key Laboratory of Wearable Computing, Lanzhou University, Lanzhou, Gansu Province, 730000, People's Republic of China.
Tao HuGansu Provincal Key Laboratory of Wearable Computing, Lanzhou University, Lanzhou, Gansu Province, 730000, People's Republic of China.
Zicheng ZhangGansu Provincal Key Laboratory of Wearable Computing, Lanzhou University, Lanzhou, Gansu Province, 730000, People's Republic of China.
Bin HuGansu Provincal Key Laboratory of Wearable Computing, Lanzhou University, Lanzhou, Gansu Province, 730000, People's Republic of China. bh@lzu.edu.cn.
Lanzhou University · CNCenter for Excellence in Brain Science and Intelligence Technology · CNLanzhou Army General Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCancer patients are accompanied with high morbidity of depression, and gender effects are known to inhabit in the depressive episodes. This study aimed to explore the gender effects in cancer patients, and the relationship between gender-cancer factors and the depression symptoms.

methodsThe 18F-FDG PET scans of 49 cancer patients and 48 normal controls were included. We used voxel-wise analysis to explore the effects of cancer factor and gender factor in cerebral glucose metabolism. Beck Depression Inventory was utilized to quantify the depression symptoms in cancer patients.

resultsOur results showed significant cancer main effects primarily in superior frontal gyrus and parietal gyrus; and significant gender main effects primarily in cerebellum posterior lobe, inferior temporal gyrus. Significant gender-by-cancer interaction effects were also observed, which primarily located in superior frontal gyrus. We showed the metabolic intensities of the 5 aforementioned clusters were related to the mental stress of depressive emotion.

conclusionsOur results suggested that males and females have different psychological endurance when facing cancer diagnosis or preventing depression. Furthermore, the cerebral abnormal metabolism might serve as a depressive indicator for cancer patients. The present findings provided supporting evidence for abnormal cerebral glucose metabolism affected by gender factor in cancer patients with mental stress of depressive emotion, and these brain regions should be concerned in clinic.

Indexed as

Sex CharacteristicsAdultAgedBrainDepressionFemaleFluorodeoxyglucose F18GlucoseHumansMaleMiddle AgedNeoplasmsPositron-Emission TomographyPsychiatric Status Rating ScalesFluorodeoxyglucose F18Glucose18F-FDG PETCancerDepressionGenderMetabolic abnormalities

Identifiers

PMID30621635
PMCPMC6325878
OpenAlexW2922742884

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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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.