Evidence map›Paper›PMID 40781333›Full record

SynthesisBMC psychology2025

Psychological distress and self-psychological adjustment methods of lung transplant recipients: an overview of systematic reviews.

Shaobo Guo, Yingtian Jia, Ruiting Wang, Jing Sun, Hongxia Liu

Abstract readSystematic Review
In one paragraph

Synthesis in BMC psychology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–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

1 citing paper in PubMed.

  1. Article
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

5 authors.

Shaobo Guo *School of Nursing, Beijing University of Chinese Medicine, Intersection of Yangguang South Street and Baiyang East Road, Fang Shan District, Beijing, 102488, China.ORCID http://orcid.org/0000-0002-9265-5690
Yingtian Jia *School of Nursing, Beijing University of Chinese Medicine, Intersection of Yangguang South Street and Baiyang East Road, Fang Shan District, Beijing, 102488, China.ORCID http://orcid.org/0009-0003-7478-4821
Ruiting WangSchool of Nursing, Beijing University of Chinese Medicine, Intersection of Yangguang South Street and Baiyang East Road, Fang Shan District, Beijing, 102488, China.
Jing SunDepartment of Lung transplantation, Center of Respiratory Medicine, China-Japan Friendship Hospital, Literature Hall Road, Chaoyang District, Beijing, 100029, China.
Hongxia LiuSchool of Nursing, Beijing University of Chinese Medicine, Intersection of Yangguang South Street and Baiyang East Road, Fang Shan District, Beijing, 102488, China. hongxia_t@163.com.ORCID http://orcid.org/0000-0002-4896-2554

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLung transplant recipients (LTRs) face unique psychological distress post-transplantation, which may potentially impact their recovery, so establishing effective psychological coping mechanisms can significantly impact their recovery and overall quality of life. Self-psychological adjustment plays a critical role by mobilizing the recipient's internal resources, thereby improving their psychological well-being more effectively. This study aims to evaluate the relevant systematic reviews to provide evidence-based support for psychological distress and self-psychological adjustment methods in LTRs.

methodsA method of overview of systematic reviews was conducted to synthesize findings from relevant studies. The Cochrane Library, PubMed, Embase, CINAHL, Web of Science, PsycINFO, and Chinese databases including China National Knowledge Infrastructure (CNKI), Wanfang data, Chinese Scientific Journals Full-text Database (VIP), and Sinomed were searched from the establishment of the database until January 30, 2024. In addition, the updated searches were completed on May 15, 2025. Two researchers independently screened and extracted data. We applied the AMSTAR 2 Scale to assess methodological quality of included reviews, and used the PRISMA 2020 and ENTRQ to assess reporting quality of included reviews. And the GRADE and CERQual frameworks were used to determine the certainty of the evidence.

resultsA total of 10 reviews were included, covering "psychological distress" and "self-psychological adjustment methods". Common psychological distress identified included anxiety, depression, uncertainty about the future, adjustment disorders, sense of inadequacy, and fear of complications. Self-psychological adjustment methods were categorized into: (1) actively integrating into the society, (2) resuming daily activities, changing lifestyle and attitude, (3) accepting self, (4) seeking social support, (5) psychological interventions, such as mindfulness-based stress reduction (MBSR) intervention, music therapy. The AMSTAR 2 assessment indicated overall low methodological quality, with significant deficiencies in three key items (Item 2, 9 and 13). The reporting assessment results showed that most of the included reviews still needed to be improved in terms of reporting quality. The certainty of evidence ranged from moderate to very low, with notable inconsistencies between study findings and the actual situation.

conclusionCurrently, the methodological quality, reporting quality, and evidence quality of included reviews need to be improved. Self-psychological adjustment appears beneficial in alleviating psychological distress among LTRs. More high-quality, large-sample studies are still needed for further validation.

Indexed as

Adaptation, PsychologicalEmotional AdjustmentLung TransplantationPsychological DistressTransplant RecipientsHumansQuality of LifeSystematic Reviews as TopicLung transplantOverview of systematic reviewsPsychological distressSelf-psychological adjustment

Identifiers

PMID40781333
PMCPMC12335181

What OpenQuestion holds

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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.