Evidence map›Paper›PMID 41625608›Full record

ArticleFrontiers in psychiatry2025

Clinical implications of admission anemia for electroconvulsive therapy planning in adolescent major depressive disorder: identifying vulnerable subgroups with poorer response.

Dandan Geng, Heyan Xu, Jijia Gou, Yuna Wang, Yujia Chen, Su Hong, Li Kuang

Abstract read
In one paragraph

Article in Frontiers in psychiatry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

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3 · Its place in the literature

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4 · The record

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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

7 authors.

Dandan Geng *Psychiatric Center, First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Heyan Xu *Psychiatric Center, First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Jijia GouMental Health Center, University-Town Hospital of Chongqing Medical University, Chongqing, China.
Yuna WangMental Health Center, University-Town Hospital of Chongqing Medical University, Chongqing, China.
Yujia ChenMental Health Center, University-Town Hospital of Chongqing Medical University, Chongqing, China.
Su HongPsychiatric Center, First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Li KuangPsychiatric Center, First Affiliated Hospital of Chongqing Medical University, Chongqing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Major depressive disorder (MDD) represents a grave worldwide concern, particularly afflicting the adolescent population. Electroconvulsive therapy (ECT) is widely regarded as a gold-standard intervention for severe forms of MDD, although treatment response varies considerably among individuals. Growing evidence suggests that hematological parameters may influence therapeutic outcomes. This study sought to examine the link between admission anemia and response to ECT treatment. Methods: We analyzed 381 adolescent MDD patients who underwent ECT, comparing demographic and hematological indicators between responders and non-responders. Subgroup analyses were conducted based on gender and depressive subtypes. Results: Among the 381 patients treated with ECT, 272 (71.4%) were classified as responders. Non-responders showed significantly lower baseline hemoglobin levels compared to responders (mean ± SD: 119.0 ± 9.7 vs. 128.7 ± 13.1, p < 0.001). Analysis identified a significant link between hemoglobin levels at admission and the percentage improvement on the HAMD-17 (r = 0.231, p < 0.001). Following confounder adjustment in a binary logistic regression model, anemia at admission was correlated with a lower probability of ECT response [OR (95% CI): 4.051 (2.399-6.840), p < 0.001]. Females and patients with psychotic depression were particularly more susceptible to the impact of admission anemia. Conclusion: Admission anemia is associated with poorer ECT efficacy in adolescent MDD patients. Assessing baseline hemoglobin levels may help optimize ECT treatment planning, especially in female patients and those with psychotic depression.

Indexed as

adolescentanemiaelectroconvulsive therapymajor depressive disordertreatment outcome

Identifiers

PMID41625608
PMCPMC12852457

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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 Socratic graph.