| Literature DB >> 36133789 |
Lei Peng1, Xiao-Fei Zhang1, Dong-Yan Guo1, Bing-Tao Zhai1, Yu-Jie Liang1, Zhi-Ze Chen1, Jun-Bo Zou1, Ya-Jun Shi1.
Abstract
Purpose: To explore the clinical application of Baihe Dihuang Decoction. To provide certain data support and theoretical basis for the clinical application of Baihe Dihuang Decoction in the future.Entities:
Year: 2022 PMID: 36133789 PMCID: PMC9484902 DOI: 10.1155/2022/8559176
Source DB: PubMed Journal: Evid Based Complement Alternat Med ISSN: 1741-427X Impact factor: 2.650
Figure 1Number of literatures on related diseases.
Figure 2Literature screening flow chart.
Basic characteristics and quality evaluation of literaturs.
| Disease | Author, year | Cases | Diagnostic standard | Age (years) range, mean | Sex | ||
|---|---|---|---|---|---|---|---|
| Depressed | Meng and Zhang, 2020 | 35/35 | CCMD-2&CDEES&HAMD |
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| Duan et al., 2020 | 38/38 | HAMD |
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| NR | NR | |
| Zhang et al., 2019 | 44/44 | HAMD&NIHSS&QOL-100 |
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| Guo et al., 2016 | 43/43 | KMI&HAMD&psychiatry&GCM |
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| NR | NR | |
| Wang et al., 2014 | 60/40 | HADS | NR | NR | NR | NR | |
| Yin et al., 2014 | 18/18 | HAMD | NR | NR | NR | NR | |
| Li and Gao, 2014 | 34/34 | CMD&CCMD-3 |
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| Tang and Bu, 2012 | 26/26 | NIHSS | NR | NR | NR | NR | |
| Miu et al., 2012 | 19/19 | HAMD |
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| Nie et al., 2010 | 33/29 | HAMD |
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| Chen et al., 2004 | 40/39 | HAMD&AFI | NR | NR | NR | NR | |
| Wang et al., 2015 | 30/30 | HAMD&KMI | NR | NR | NR | NR | |
| Wen et al., 2018 | 31/32 | HAMD |
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| Menopausal syndrome | Xie et al., 2020 | 30/30 | AFG&IMCM |
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| — | |
| Han and Wan, 2020 | 67/66 | OG&GDTCGDTCM |
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| Shen et al., 2019 | 50/50 | NR |
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| Song et al., 2018 | 30/30 | GPTTDC&HAMD&CDTE&GPCRNCM |
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| Zhou et al., 2015 | 86/86 | NR | T; 42∼53, 45.27 ± 10.12 |
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| Zhang et al., 2012 | 27/27 | DSM&PCMP |
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| Insomnia | Guan et al., 2020 | 36/36 | HAMD&PSQI&ASRSA |
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| Li et al., 2019 | 27/29 | CCMD-3&GPCRNCM |
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| Zhang et al., 2019 | 32/30 | CCCMD&GPCRNCM&RPTITSD |
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| Guo et al., 2019 | 33/33 | CDTE | T; 62∼79 66.52 ± 1.11 |
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| Zhao and Yuan, 2019 | 32/32 | NR | T; 51∼87 68.42 ± 0.25 |
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| Xin et al., 2018 | 30/30 | CDCMDC&CJCTCM |
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| T; 12/18 |
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| Zhang et al., 2018 | 96/96 | Endocrinology&CCMD |
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| NR | NR | |
| Wang et al., 2015 | 60/60 | CCMD-3 | NR | NR | NR | NR | |
| Qu and Sun, 2019 | 51/41 | urosurgery&IMCM |
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| Li et al., 2014 | 18/18 | CDTE |
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| Wang et al., 2008 | 65/55 | CCMD&HAMD&CDTEIM | NR | NR |
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| 38/36 | CCCMD |
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| NR | NR | |
| Zhang et al., 2015 | 36/36 | OG&CCMD |
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| NR | NR | |
Note: CCMD, chinese classification of mental disorders; CCMD-2, chinese classification of mental disorders vertion 2; CCMD-3, chinese classification of mental disorders vertion 3; CDEES, criteria for diagnosis and efficacy evaluation of stroke; HAMD, hamilton depression scale; NIHSS, national institutes of health stroke scale; QOL-100, quality of life-100; KMI, kupperman; GCM, gynecology of Chinese medicine; HADS, hospital anxiety and depression scale; CMD, chinese medicine diagnostics; AFI, assessment of functional impairment; AFG, atrial fibrillation guide vertion 2014; IMCM, internal medicine of chinese medicine; OG, obstetrics and gynecology; GDTCGDTCM, guidelines for the diagnosis and treatment of common gynecological diseases in traditional Chinese medicine; GPTTDC, guidelines for prevention and treatment of type 2 diabetes in china vertion 2013; CDTE, criteria for diagnosis and therapeutic effect; GPCRNCM, guiding principles for clinical research of new chinese medicines; DSM, the diagnostic and statistical manual of mental disorders; PCMP, practical chinese medicine psychiatry; PSQI, pittsburgh sleep quality index; ASRSA, asberg side-effect rating scale for antidepressant; CCCMD, Chinese classification of mental disorders; RPTITSD, research progress in the treatment of insomnia by TCM syndrome differentiation; CDCMDC, classification and diagnostic criteria of mental disorders in China; CJCTCM, classification and judgment of constitution of traditional Chinese medicine; CDTEIM, criteria for diagnosis and therapeutic effect of internal medicine.
Treatment protocols and indicators.
| Disease | Study ID (Author, year) | Treatment group | Contral group | Duration/follow measure | Outcome measure |
|---|---|---|---|---|---|
| Depressed | Duan et al., 2020 | FMT + BDD | FMT | 8 week/NR | HAMD, KMI, NE, 5-HT, TER, IAR |
| Meng and Zhang, 2020 | Fluoxetine + BDD | Fluoxetine | 8 week/NR | HAMD, SDSS, NIHSS, TER, IAR | |
| Zhang et al., 2019 | Paroxetine + BDD | Paroxetine | 8 week/NR | HAMD, NIHSS, QOL-100, TER, IAR | |
| Guo et al., 2016 | FMT + BDD | FMT | 6 week/NR | HAMD, PSQI, 5-HT, NE, TER, FSH, LH, LH, E2 | |
| Li and Gao, 2014 | Fluoxetine + BDD | Fluoxetine | 6 week/NR | HAMD, TER, STCM(AS, SD, Despair) | |
| Wang et al., 2014 | Vitamins + Ginkgo + BDD | Vitamins + Ginkgo | 4 week/NR | HADS, TER | |
| Miu et al., 2012 | GJS + BDD | FMT | 6 week/NR | HAMD, TER | |
| Tang and Bu, 2012 | Fluoxetine + BDD + GJS | Fluoxetine | 2 week/6 m | NIHSS, OHS, ADL, PSD | |
| Nie et al., 2010 | BDD | Paroxetine | 8 week/NR | HAMD, TER, IAR | |
| Chen et al., 2004 | BDD | Paroxetine | 4 week/NR | ADL, HAMD, NDS | |
| Yin et al., 2014 | GJS + BDD | FMT | 6 week/NR | HAMD, TER | |
| Wang et al., 2015 | GJS + BDD | Duloxetine | 8 week/NR | HAMD, KMI, TER, IAR | |
| Wen et al., 2018 | GJS + BDD | Fluoxetine | 6 week/NR | HAMD, TER | |
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| Menopausal syndrome | Xie et al., 2020 | GJS + BDD | Oryzanol | 4 w/NR | KMI, TER |
| Shen et al., 2019 | EV + BDD | EV | 3 m/NR | CD-(3, 4, 8), IL-2, TER, QL | |
| Song et al., 2018 | Metformin + FMT + BDD | Metformin + FMT | 60 d/NR | HAMD, HAMA, TER, C-, 348 | |
| Zhou et al., 2015 | Nilestriol + BDD | Nilestriol | 4 w/NR | CD-(3, 4, 8), IL-2, TER, LH, FSH, | |
| Zhang et al., 2012 | Paroxetine + BDD | Paroxetine | 4 w/NR | TER | |
| Han and Wan, 2020 | Estradiol + BDD + HES | Estradiol | 3 m/NR | KMI, MENQOL(BC, psychological, body, sex), SAS, SDS, PSQI, E2, FSH, LH, NE, 5-HT, NO, ET-1, CGRP, TER, YDFPS | |
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| Insomnia | Guo et al., 2019 | SS + BDD | SS | 2 w/NR | TER |
| Zhao and Yuan, 2019 | Paroxetine + BDD | Paroxetine | 3 w/NR | NIHSS, TER, SQ | |
| Xin et al., 2018 | BDD | Zopiclone | 2 w/NR | PSQI | |
| Zhang et al., 2018 | BDD + BEP | Estazolam | 4 w/NR | TER, FAT, ST, SD, NNW | |
| Zhang et al., 2015 | BDD + YJW | Estazolam | 4 w/NR | TER | |
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| Bupleurum + KOS + BDD | ZZ | 2 w/1 m | AIS-8, TER | |
| Wang et al., 2015 | Acupuncture + BDD | Diazepam + Diethylstilbestrol | 3 w/NR | TER, IAR | |
| Li et al., 2014 | SS + BDD | NR | 2 w/NR | TER | |
| Guan et al., 2020 | Trazodone + BDD | Trazodone | 3 m/1m | HAMD, PSQI, ASRSA, TER | |
| Li et al., 2019 | BDD + EA | Zopiclone | 28 d/NR | PSQI, HAMA, GSP, IAR, TSS | |
| Zhang et al., 2019 | BDD | Alprazolam | 30 d/NR | PSQI, TER, TSS | |
| Qu and Sun, 2019 | BDD + SS | Estazolam | 2 w/NR | TER, IAR | |
| Wang et al., 2008 | BDD | Alprazolam | 12 w/NR | PSQI, TER, AR, FAT, ST, SE, DN, Drowsiness | |
Note. HAMD, hamilton depression scale; KMI, kupperman; NE, norepinephrine; TER, total effective rate; IAR, incidence of adverse reactions; SDSS, social dysfunction scale; NIHSS, national institutes of health stroke scale; QOL-100, quality of life-100; PSQI, pittsburgh sleep quality index; FSH, follicle stimulating hormone; LH, luteinizing hormone; E2, estradiol; STCM, symptoms of traditional Chinese medicine; AS, anxiety somatization; SD, sleep disorder; HADS, hospital anxiety and depression scaleor; OHS, social function evaluation; ADL, activity of daily living; PSD, post-stroke depression; NDS, neurological deficit score; T lymphocyte CD subgroup, CD-(3, 4, 8); QL, quality of life; HAMA, hamilton anxiety scale; T, testosterone; PRL, prolactin; MENQOL, menopause-specific quality of life questionnaire; BC, blood; circulation; SAS, simpson-angus scale; SDS, anxiety self-rating scale; NO, nitric oxide; ET-1, endothelin-1; CGRP, calcitonin gene-related peptide; YDFPS, yin deficiency and fire prosperity syndrome; SQ, sleep quality; FAT, falling asleep time; ST, sleeping time; SD, sleep depth; NNW, number of night wakes; AIS-8, athens insomnia scale; ASRSA, asberg side-effect rating scale for antidepressant; GSP, glycosylated serum protein; TSS, TCM symptom score; SE, sleep efficiency; DN, dreaminess or nightmares, LE, lack of energy; FMT, flupenthixol and meritroxine; BDD, baihe dihuang decoction; GJS, ganmai jujube soup; EV, estradiol valerate; HES, huanglian ejiao soup; SS, suanzaoren soup; zopiclone; BEP, beans in ear points; YJW, yueju wan; KOS, keel oyster soup; EA, ear acupuncture; ZZ, zolpidem tartrate.
Figure 3Depression correlation charts. Note: (a) Bias assessment risk of the study. Red circle, high bias risk; green circle, low bias risk; blank, unclear bias risk. (b) Forest chart of the total effective rate in the treatment of depression. (c) Forest chart of incidence of adverse reactions in treatment of depression. (d) Forest plot of HAMD value in treatment of depression.
Other scoring indicators used to evaluate depression.
| Index | Numer of studies | Study ID (Author, year) | Cases of experimental group | Cases of control group | MD [95%CI] | Z-value |
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|---|---|---|---|---|---|---|---|
| KMI | 2 | Duan et al., 2020 | 68 | 68 | −5.41 [−10.28, −0.54] | 2.18 | 0.03 |
| NIHSS | 2 | Yang and Zhang, 2020 | 79 | 79 | −7.18 [−8.88, −5.48] | 8.26 | <0.00001 |
| ADL | 2 | Tang and Bu, 2012 | 66 | 65 | 3.83 [−7.84, 15.50] | 0.64 | 0.52 |
| QOL-100 | 1 | Zhang et al., 2019 | 44 | 44 | 14.79 [13.22, 16.36] | 18.41 | <0.00001 |
| AS | 1 | Li and Gao, 2014 | 34 | 34 | −1.92 [−2.45, −1.39] | 7.13 | <0.00001 |
| SD | 1 | Li and Gao, 2014 | 34 | 34 | −2.17 [−2.45, −1.88] | 15.08 | <0.00001 |
| Despair | 1 | Li and Gao, 2014 | 34 | 34 | −0.08 [−0.32, 0.17] | 0.61 | 0.54 |
| OHS | 1 | Tang and Bu, 2012 | 26 | 26 | −0.81 [−1.41, −0.21] | 2.65 | 0.008 |
| PSD | 1 | Tang and Bu, 2012 | 26 | 26 | 0.32 [0.09, 1.13] | 1.77 | 0.08 |
| NDS | 1 | Chen et al., 2004 | 40 | 39 | 0.20 [−1.93, 2.33] | 0.18 | 0.85 |
| PSQI | 1 | Guoet et al., 2016 | 43 | 43 | −2.70 [−3.15, −2.25] | 11.78 | <0.00001 |
| SDSS | 1 | Yang and Zhang, 2020 | 35 | 35 | −3.50 [−4.31, −2.69] | 8.48 | <0.00001 |
Analysis of neuroendocrine function index table in the treatment of depression.
| Index | Numer of studies | Study ID (Author, year) | Cases of experimental group | Cases of control group | MD [95%CI] |
|
|
|---|---|---|---|---|---|---|---|
| 5-HT | 2 | Guo et al., 2016 | 81 | 81 | 33.80 [15.60, 51.99] | 3.64 | 0.003 |
| NE | 2 | Duan et al., 2020 | 81 | 81 | 20.70 [12.66, 28.74] | 5.04 | <0.00001 |
| FSH | 1 | Guo et al., 2016 | 43 | 43 | −1.10 [−16.91, 14.71] | 0.14 | 0.89 |
| LH | 1 | Guo et al., 2016 | 43 | 43 | 0.30 [−7.36, 7.96] | 0.08 | 0.94 |
| E2 | 1 | Guo et al., 2016 | 43 | 43 | 3.90 [−8.52, 16.32] | 0.62 | 0.54 |
Figure 4Menopausal syndrome correlation charts. Note: (a) Bias assessment risk of the study. Red circle, high bias risk; green circle, low bias risk; blank, unclear bias risk. (b) Other scoring indicators used to evaluate menopausal syndrome.
Other scoring indicators used to evaluate menopausal syndrome.
| Index | Numer of studies | Study ID (Author, year) | Cases of experimental group | Cases of control group | MD [95%CI] |
|
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|---|---|---|---|---|---|---|---|
| MENQOL (BC) | 1 | Han and Wan 2020 | 66 | 67 | −0.79 [−0.89, −0.69] | 14.79 | <0.00001 |
| MENQOL (psychological) | 1 | Han and Wan 2020 | 66 | 67 | −0.79 [−0.88, −0.70] | 16.71 | <0.00001 |
| MENQOL (body) | 1 | Han and Wan 2020 | 66 | 67 | −0.97 [−1.05, −0.89] | 23.69 | <0.00001 |
| MENQOL (sex) | 1 | Han and Wan 2020 | 66 | 67 | −0.81 [−0.86, −0.76] | 31.7 | <0.00001 |
| SAS | 1 | Han and Wan 2020 | 66 | 67 | −4.18 [−5.75, -2.61] | 5.21 | <0.00001 |
| SDS | 1 | Han and Wan 2020 | 66 | 67 | −3.33 [−4.94, −1.72] | 4.04 | <0.00001 |
| PSQI | 1 | Han and Wan 2020 | 66 | 67 | −0.92 [−1.12, −0.72] | 9.02 | <0.00001 |
| YDFPS | 1 | Han and Wan 2020 | 66 | 67 | −3.13 [−3.61, −2.65] | 12.88 | <0.00001 |
| KMI | 2 | Han and Wan 2020 | 96 | 97 | −3.83 [−4.56, −3.11] | 10.35 | <0.00001 |
| QL | 1 | Shen 2019 | 50 | 50 | 14.00 [8.31, 19.69] | 4.82 | <0.00001 |
| HAMD | 1 | Song 2018 | 30 | 30 | −1.34 [−2.49, -0.19] | 2.28 | 0.02 |
| HAMA | 1 | Song 2018 | 30 | 30 | −1.87 [−3.32, −0.42] | 2.54 | 0.01 |
Analysis of peripheral serum hormone, vasomotor factor and immune function in patients with menopausal syndrome.
| Index | Numer of studies | Study ID (Author, year) | Cases of experimental group | Cases of control group | MD [95%CI] |
|
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|---|---|---|---|---|---|---|---|
| LH | 2 | Zhou 2015 | 152 | 153 | −6.94 [−10.93, −2.96] | 3.41 | 0.0006 |
| FSH | 2 | Zhou 2015 | 152 | 153 | −9.59 [−18.44, −0.73] | 2.12 | 0.03 |
| E2 | 2 | Zhou 2015 | 152 | 153 | 56.53 [−23.99, 137.05] | 1.38 | 0.17 |
| T | 1 | Zhou 2015 | 86 | 86 | 9.49 [9.40, 9.57] | 216.7 | <0.00001 |
| PRL | 1 | Zhou 2015 | 86 | 86 | −0.22 [−28.10, 27.66] | 0.02 | 0.99 |
| NE | 1 | Han and Wan 2020 | 66 | 67 | 23.42 [17.79, 29.05] | 8.16 | <0.00001 |
| 5-HT | 1 | Han and Wan 2020 | 66 | 67 | 0.71 [0.58, 0.84] | 11.12 | <0.00001 |
| NO | 1 | Han and Wan 2020 | 66 | 67 | 9.29 [−140.61, 159.19] | 0.12 | 0.9 |
| ET-1 | 1 | Han and Wan 2020 | 66 | 67 | −8.13 [−10.51, −5.75] | 6.69 | <0.00001 |
| CGRP | 1 | Han and Wan 2020 | 66 | 67 | −5.20 [−6.42, −3.98] | 8.39 | <0.00001 |
| CD-3 | 2 | Shen 2019 | 136 | 136 | 6.11 [5.35, 6.86] | 15.92 | <0.00001 |
| CD-4 | 2 | Shen 2019 | 136 | 136 | 7.36 [6.43, 8.28] | 15.59 | <0.00001 |
| CD-8 | 2 | Shen 2019 | 136 | 136 | −5.59 [−6.80, −4.37] | 9.02 | <0.00001 |
| IL-2 | 2 | Shen 2019 | 136 | 136 | 10.39 [5.76, 15.01] | 4.4 | <0.0001 |
Figure 5Insomnia correlation charts. Note: (a) Bias assessment risk of the study. Red circle, high bias risk; green circle, low bias risk; blank, unclear bias risk. (b) Forest chart of the total effective rate in the treatment of insomnia. (c) Forest chart of incidence of adverse reactions in the treatment of insomnia. (d) Forest plot of PSQI value for insomnia treatment.
Other scoring indicators used to evaluate insomnia.
| Index | Numer of studies | Study ID (Author, year) | Cases of experimental group | Cases of control group | MD [95%CI] |
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|---|---|---|---|---|---|---|---|
| TSS | 2 | Li et al.,2019 | 59 | 59 | −1.70 [−2.69, −0.70] | 3.34 | 0.0009 |
| ST | 2 | Zhang et al., 2018 | 161 | 151 | 0.62 [−2.28, 3.52] | 0.42 | 0.67 |
| FAT | 2 | Zhang et al., 2018 | 161 | 151 | −9.03 [−20.21, 2.15] | 1.58 | 0.11 |
| NNW | 2 | Zhang et al., 2018 | 161 | 151 | −1.09 [−1.34, -0.84] | 8.54 | <0.00001 |
| SE | 1 | Wang et al., 2008 | 65 | 55 | 21.00 [11.12, 30.88] | 4.17 | <0.0001 |
| SQ | 1 | Zhao and Yuan., 2019 | 32 | 32 | −8.32 [−8.48, −8.16] | 100.41 | <0.00001 |
| DN | 1 | Wang et al., 2008 | 65 | 55 | −0.60 [−0.96, −0.24] | 3.27 | 0.001 |
| Drowsiness | 1 | Wang et al., 2008 | 65 | 55 | −1.70 [−2.00, −1.40] | 11.04 | <0.00001 |
| LE | 1 | Wang et al., 2008 | 65 | 55 | −1.20 [−1.53, −0.87] | 7.17 | <0.00001 |
| HAMD | 1 | Guan et al., 2020 | 36 | 36 | −1.25 [−2.03, −0.47] | 3.15 | 0.002 |
| AIS-8 | 1 |
| 38 | 36 | −1.49 [−2.30, −0.67] | 3.59 | 0.0003 |
| ASRSA | 1 | Guan et al., 2020 | 36 | 36 | −2.14 [−3.30, −0.98] | 3.62 | 0.0003 |
| GSP | 1 | Li et al., 2019 | 27 | 29 | −2.58 [−18.01, 12.85] | 0.33 | 0.74 |
Figure 6Funnel plot of each treatment index.