Evidence map›Paper›PMID 36687877›Full record

ArticleFrontiers in psychology2022

Psychological distress among women undergoing

Liuliu Wu, Lijing Sun, Juan Wang, Yaoyao Sun, Xuan Zhang, Yongqi Huang, Yan'e Lu, Fenglin Cao

Open access · goldAbstract read
In one paragraph

Article in Frontiers in psychology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
4.9field-weighted citation impact, top 5% 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

12 citing papers in PubMed, 19 citations in OpenAlex.

  1. Network temperature and stability of symptom clusters in colorectal cancer patients undergoing adjuvant chemotherapy: a prospective longitudinal study.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2026
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  2. Women's Perspectives on Adjunct Therapies in IVF: Key Considerations and Influences.The Australian & New Zealand journal of obstetrics & gynaecology · 2026
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  4. Dynamic Network Analysis of Symptom Profiles and Their Expected Impact on Patients with Colorectal Cancer Receiving Postoperative Adjuvant Chemotherapy.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2026
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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

8 authors at 2 institutions in 1 country.

Liuliu WuDepartment of Health Psychology, School of Nursing and Rehabilitation, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China.
Lijing SunCenter for Reproductive Medicine, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China.
Juan WangDepartment of Health Psychology, School of Nursing and Rehabilitation, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China.
Yaoyao SunInstitute of Mental Health, Peking University Sixth Hospital, Beijing, China.
Xuan ZhangDepartment of Health Psychology, School of Nursing and Rehabilitation, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China.
Yongqi HuangDepartment of Health Psychology, School of Nursing and Rehabilitation, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China.
Yan'e LuDepartment of Health Psychology, School of Nursing and Rehabilitation, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China.
Fenglin CaoDepartment of Health Psychology, School of Nursing and Rehabilitation, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China.
Shandong University · CNPeking University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Women undergoing Aims: We aimed to investigate (a) how depression and anxiety symptoms are interconnected within a network, and (b) the changes of the network (symptom connections and network centralities) over time, in women undergoing Methods: A 4-wave longitudinal study was designed with 343 eligible women recruited from the Reproductive Medicine Center of a tertiary hospital in China. The network models were created to explore the relationship and changes between psychopathology symptoms both within and across anxiety and depression, with anxiety measured by the Generalized Anxiety Disorder-7 and depression measured by the Patient Health Questionnaire-9. Symptom network analysis was conducted to evaluate network and network properties, network centrality, and bridge centrality, as well as change trajectory network. Results: For the strength centrality, "inability to control worry" and "worrying too much" were the most central symptoms at T1; however, these symptoms decreased. The centrality of "sadness" and "guilt" tended to increase steadily and became dominant symptoms. For bridge centrality indices, several bridge symptoms were identified separately from T1 to T4: "irritability," "concentration difficulties," "nervousness," and "restlessness;" "guilt" exhibited increased bridge symptoms. Furthermore, the change trajectory network indicated that "suicide ideation" became more closely related to guilt but not to worrying too much over time. Conclusion: This study provides novel insights into the changes in central features, connections, and bridge symptoms during IVF-ET treatment and identified several bridge symptoms separately at different stages, which could activate the connection between psychopathology symptoms. The results revealed that sense of guilt was associated with worsening psychopathology symptoms, indicating that future psychological interventions should target guilt-related symptoms as a priority.

Indexed as

anxietydepressionin vitro fertilizationlong-termnetwork analysis

Identifiers

PMID36687877
PMCPMC9849569
OpenAlexW4313558712

What OpenQuestion holds

Textmetadata
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.