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. 2024 Sep 9;19(9):e0307396. doi: 10.1371/journal.pone.0307396

SARS-CoV-2 impairs male fertility by targeting semen quality and testosterone level: A systematic review and meta-analysis

Ashonibare V J 1,2, Ashonibare P J 2,3, Akhigbe T M 2,4, R E Akhigbe 2,3,*
Editor: Stefan Schlatt5
PMCID: PMC11383251  PMID: 39250513

Abstract

Background

Since the discovery of COVID-19 in December 2019, the novel virus has spread globally causing significant medical and socio-economic burden. Although the pandemic has been curtailed, the virus and its attendant complication live on. A major global concern is its adverse impact on male fertility.

Aim

This study was aimed to give an up to date and robust data regarding the effect of COVID-19 on semen variables and male reproductive hormones.

Materials and methods

Literature search was performed according to the recommendations of PRISMA. Out of the 852 studies collected, only 40 were eligible for inclusion in assessing the effect SARS-CoV-2 exerts on semen quality and androgens. More so, a SWOT analysis was conducted.

Results

The present study demonstrated that SARS-CoV-2 significantly reduced ejaculate volume, sperm count, concentration, viability, normal morphology, and total and progressive motility. Furthermore, SARS-CoV-2 led to a reduction in circulating testosterone level, but a rise in oestrogen, prolactin, and luteinizing hormone levels. These findings were associated with a decline in testosterone/luteinizing hormone ratio.

Conclusions

The current study provides compelling evidence that SARS-CoV-2 may lower male fertility by reducing semen quality through a hormone-dependent mechanism; reduction in testosterone level and increase in oestrogen and prolactin levels.

Introduction

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), which is implicated as the causative organism of the Corona-Virus disease 2019 (COVID-19) has remained a global concern since its outbreak [13]. SARS-CoV-2 is a sheathed β-coronavirus, which is genetically similar to SARS-CoV-1 (80%) and 96.2% with Bat coronavirus RaTG13 [4]. The S protein contains the S1 sub-unit, which carries the receptor binding domain that tethers to the angiotensin-converting enzyme 2 (ACE 2) [5,6], and facilitates binding to and entry into host cells [4,6]. Though quite similar, SARS-CoV-2 spreads more expeditiously than SARS-CoV-1, as it has a higher net reproductive rate. Additionally, SARS-CoV-2 exhibits stronger binding to its host receptor cells and greater host invasion because of its slight structural difference from SARS-CoV-1 [7,8]. However, angiotensin-converting enzyme 2 (ACE2) is the primary host receptor of SARS-CoV [4]. It is liberally present in the epithelial tissue of the lung and small intestine, heart, lungs, kidneys, and testes in humans [919], and may contribute possible entry portal for SARS-CoV [20].

As of May 2023, over 766 million COVID- 19 cases, with about 7 million mortalities were reported [9]. Studies have revealed that COVID-19 mainly affects both male and female respiratory systems [4,8]. Studies have also demonstrated that the virus causes damage to multiple organs, including the kidney, heart, liver, brain [10,12], and testes [2,4,6,8,13]. In addition, there is proof that SARS-CoV-1 exerts a more severe impact on males than females [6,1417]. Also, orchitis has been reported in males recovering from the SARS virus [3,18]. Despite this, findings on the adverse effect of this deadly virus on the male reproductive system are limited and contentious. In a systematic review and meta-analysis by Corona et al. [21], SARS-CoV-2 infection was linked with low semen quality and serum testosterone level. This is in agreement with earlier systematic review and meta-analysis by Tiwari et al. [22]. The study however had some frailties- first, the random-effect model was used irrespective of the level of diversity, which might affect the findings of the meta-analysis. Also, no sensitivity analyses were performed to rule out the influence of diversity. Finally, the authors failed to apply the finding of the quality of the appraised studies to their analysis.

Therefore, the aim of this study is oriented towards providing an overhauling meta-analysis on the consequence of COVID-19 on male fertility. This review gives an insight into how COVID-19 impact semen quality and male reproductive hormones to modulate male fertility. So far as we are aware, this research pioneers the evaluation of the impact of COVID-19 by comparing between infected and non-infected subjects, before and after treatment in infected patients, and infected and pre-COVID state in the same patients. Hence, the present study evinces a robust review and analysis of the influence of SARS-CoV-2 on male fertility.

Materials and methods

Protocol and eligibility criteria for inclusion

This study was registered on Prospero (CRD42024533906). This study was conducted on published works that evaluated the influence of SARS-CoV-2 on male fertility. The study adopted the “Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA)” strategy, which is provided as Fig 1.

Fig 1. PRISMA flowchart for the strategic identification, screening, and inclusion of eligible studies.

Fig 1

This study adopted the Population, Exposure, Comparator/Comparison, and Outcomes (PECO) model. All studies published until October 2023 that were eligible based on set criteria, were collected. The studied populations were male in their reproductive ages, who had an exposure to SARS-CoV-2 and developed COVID 19. The studies were either retrospective or prospective among COVID 19-infected patients with age-matched control who were COVID 19-negative. In cases where there were no COVID 19-negative control groups, outcomes before and after the treatment of COVID 19 or at pre-COVID and COVID 19-infected states should be presented. The outcome measured were conventional semen parameters viz. ejaculate volume, sperm count, concentration, viability, normal morphology, total and progressive motility, and seminal fluid leukocyte level, and male reproductive hormones namely testosterone (T), oestrogen, prolactin, follicle-stimulating hormone (FSH), and luteinizing hormone (LH) levels. T/LH and FSH/LH were also measured.

Exclusion criteria included absence of a comparator as control, studies in females, in vitro studies, commentaries, review articles, letters to editor, editorials, preprint, conference abstracts, retracted papers, and degree thesis. No language or country restriction was applied.

Search strategy

An organized search using EMBASE, Pubmed/MEDLINE, Scopus, and Web of Science databases was performed. The keywords combined were “COVID”, “COVID 19”, “coronavirus”, “SARS-CoV-2”, “semen”, “semen analysis”, “seminal fluid”, “sperm”, “sperm cells”, “spermatozoa”, “sperm parameter”, “sperm variable”, “sperm count”, “sperm concentration”, “sperm viability”, “sperm vitality”, “sperm motility”, “total sperm motility”, “progressive sperm motility”, “sperm morphology”, “semen volume”, “ejaculate volume”, “seminal leukocyte”, and “seminal WBC’, “luteinizing hormone”, “LH”, “follicle stimulating hormone”, “FSH”, “testosterone”, “male fertility”, “male infertility”, “male reproduction”. Abstracts and full text of articles collected were independently evaluated for eligibility by AVJ, APJ, and. ATM, and differences of opinion were resolved by ARE.

Data collection, assessment of quality of eligible studies, and meta-analysis

The eligible studies were appraised for quality and data collected by AVJ, APJ, and. ATM. Disputes were resolved by ARE. Data gathered from the appropriate studies include the last name of the principal investigator, publication date, country of study origin, study design, method of COVID 19 diagnosis, sample size and ages of patients, duration of infection, and measured outcomes of interest. The outcomes of interest were pull out as mean and standard deviation. When the variables were presented in other forms, the mean and standard deviation were derived from the provided data. In cases where the outcomes were reported in Figs, they were converted to values using Web Plot Digitizer.

The quality of evidence in the eligible papers was evaluated using the ErasmusAGE quality score for systematic reviews, which assigns a number between 0 and 2 to five domains [23]. Furthermore, the “Office of Health Assessment and Translation (OHAT)” methodology was used to evaluate the risk of bias (RoB) [24]. Using the “Grading of Recommendations Assessment, Development and Evaluation (GRADE) Working Group” standards as a guide, the “OHAT approach for systematic review and evidence integration for literature-based health assessment was used to assess the certainty of the evidence” [25,26].

Review Manager (version 5.4.1) was used to conduct the quantitative meta-analyses. From the eligible studies, the standardized mean difference (SMD) at 95% confidence intervals (CIs) was calculated. A random-effect model was used when P-value < 0.1 or I2 > 50% which indicates the existence of significant variety; otherwise, a fixed-effect model was utilized. To assess the possible sources of diversity, sensitivity analysis was conducted by excluding the studies with the largest weight, high RoB (< 4), low quality of evidence (< 5) and low certainty of evidence. Also, the generated funnel’s plots were visually assessed for publication bias.

Results

The selection of studies and the attributes of the relevant studies

Out of the 852 publications screened, only 50 were potentially eligible for evaluation. Finally, 40 studies [2766] were deemed eligible for inclusion in this study (Fig 1). The eligible papers were published between 2020 and 2023, and they were from China (7), Germany (1), India (1), Indonesia (1), Iran (6), Iraq (2), Italy (5), Jordan (2), Russia (1), Turkey (12), UK (1), and USA (1). The data collected included the surname of the year of publication, principal investigator, country of study origin, study design, method of diagnosing COVID-19, studied population size, participants’/patients’ age range, duration of infection, outcomes measured (Table 1).

Table 1. Eligible studies included in the meta-analysis that reported the effects of COVID-19 on semen quality and male sex hormones.

References Study design Country Diagnosis of COVID-19 Examined population Age (years) Duration of infection (months) Outcomes/variables measured
Semen Hormone
Abbas et al., 2022 [27] Cross-sectional Baghdad/Iraq - COVID-19 (70)
Control (50)
25–55 - - LH, FSH, Prolactin↑
Aksak et al., 2022 [28] Cross-sectional Adan/Turkey PCR COVID-19 (100)
Control (100)
20–50 4–12 Semen volume, concentration, motility, morphology -
Al-Alami et al, 2022 [29] Retrospective Jordan - Vaccinated (28)
Vaccinated and infected (14)
Neither vaccinated nor infected (3)
Infected only (4)
N = 49
N´ = 354
- - sperm concentration, sperm progressive motility,semen liquefaction time, ejaculate volume, normal forms existing within the semen, and ejaculate viscosity. -
Al-Bashiti et al, 2022 [30] Cross sectional Amman, Jordan PCR COVID(81)
Control (76)
54.35±14.46 (COVID)
49.59±15.80 (Control)
20–80
- - Testosterone↓ inhibin B ↓
Azzawi and Abdulrahman, 2022 [31] Cross sectional Fallujah, Iraq - Recovered (60)
Control (30)
20–49 - - PSA, testosterone ↓, FSH↑, LH ↑
Best et al, 2021 [32] Prospective Florida, USA PCR COVID (30)
Control (30)
40 (IQR = 24.75) (COVID)
42 (IQR = 9.8) (Control)
18–70
90 days follow up Volume, pH, concentration ↓, total sperm number ↓ -
Camici et al., 2021 [33] Retrospective cross-sectional Rome, Italy PCR COVID (24)
Control (24)
18- 65YRS
Control: (43–57)
COVID: (43–59)
2months
-
androstenedione, 5α-dihydrotestosterone, Oestradiol, sex hormone binding globulin, testosterone
Cinislioglu et al, 2022 [34] Prospective Erzurum, Turkey PCR COVID (358)
Control (92)
64.9 (11.6) (COVID)
67.2 (13.6) (Control)25–91
7months - Testosterone ↓ FSH ↑ LH ↑ TT:LH ↓
Dipankar et al, 2022 [35] Prospective/ Longitudinal Patna, India PCR 30 19–45 74 days follow up Volume↑, viscosity↓, agglutination ↓, liquefaction time ↓, pH, volume, progressive motility ↑, total motility ↑ sperm count ↑, total sperm count ↑, morphology↑, tail defect, head defect↓, neck defect, DNA Fragmentation Index (DFI) ↓, cytoplasmic droplet ↑, vitality↑, fructose present↑, normal morphology, WBC ↓ -
Enikeev et al, 2022 [36]
Prospective Moscow,
Russia
PCR COVID on admission (44), COVID at 3 months of follow up (37),
Control (44)
46.7±9.9 (COVID)
30.7±9.8 (Control)
18–65
3 months follow up Concentration ↑, total sperm count volume, (total motility, progressive motility, slow progressive motility, non-progressive motility)↑ rapid progressive motility, no motility ↓immobile sperm ↑ vitality ↓ normal morphology ↓wbc ↑ Agglutination, pH, normal morphology IIEF-5, Prolactin, FSH, LH ↓, Testosterone ↑
Erbay et al, 2021 [37]
Retrospective, CS Instabul, Turkey PCR COVID-(19) 69 20–45 74 days Volume, concentration, vitality, sperm number, total motility, progressive motility -
Falahieh et al, 2021 [38]
Urmia, Iran PCR 20
20 and 50 14, 120 days volume, colour,
viscosity and pH of the semen sample, sperm concentration, total, progressive motility↑, normal morphology ↑ and viability
-
Gacci et al, 2021 [39]
Prospective cross-sectional - PCR 43
Nonhospitalzed (mild)
Hospitalized (moderate)
ICU (severe)
18–65 - Volume, cell number ↑, concentration, progressive motility, vitality ↓, normal morphology, pH, -
Gul et al, 2021 [40] Cross sectional Bursa, Turkey SARS-CoV-2 nucleic acid test 29 18–41 ? Semen volume, sperm concentration, total sperm count, total motility, progressive motility Testosterone, FSH, LH, prolactin
Guo et al, 2021 [41] Prospective Anhui, China PCR COVID-19 (41)
Control (50)
COVID-19: 26.0 (22.0–34.0)
Control: 26.5 (25.0–34.0)
? Concentration, volume, total sperm count, abnormal morphology, vitality, sperm motility, progressive motility, motile sperm count Estradiol, FSH, LH, progesterone,testosterone (T), prolactin, anti Mullerian hormone (AMH) and inhibin B
Hadisi et al, 2022 [42] Cross sectional Ahar, Iran
PCR COVID-19 (60)
Control (60)
? - - estradiol,
FSH, LH, prolactin, progesterone,testosterone, cortisol and thyroid stimulating hormone
(TSH)
Hamarat et al, 2022 [43] Prospective, longitudinal Konya, Turkey PCR 41 22–46 Over 70 days sperm concentration ↓,
total sperm number ↓, semen volume ↓, sperm motility (progressive
motility, non-progressive motility, and immotility percentages),normal morphology ↓, head↑, neck, and tail anomaly ↓
-
Holtmann et al, 2020 [44] Cross sectional Duesseldorf, Germany PCR Control: 14
Mild case: 14
Moderate: 2
Control: 33.4±13.1
Mild case: 42.7±10.4
Moderate: 40.8±8.7
- Volume, concentration, total sperm number, sperm number, progressive motility, complete motility, immotility,
-
Hu et al, 2022 [45] Prospective
Wuhan, China
PCR COVID (36)
Control (45)
31.75±5.77
31.49±3.10 (NS)
- PH, volume, sperm concentration, total sperm number, progressive motility and total motility -
Kadihasanoglu et al, 2021 [46] Prospective cross sectional Istanbul, Turkey PCR COVID-19 (89), controls (143). COVID: 49.9 ± 12.5
Control: 50 ± 7.8
20 and 65
- - Testosterone, LH, FSH, and
prolactin.
Karkin & Gürlen, 2022 [47] Cross sectional Adana, Turkey PCR 348
20–74 - TT, LH, FSH
Koç & Keseroğlu, 2021 [48] Prospective cross sectional Ankara, Turkey PCR COVID (21) 32±6.30 5Days semen volume, percentage of total motility, percentage of
progressive motility, and normal sperm morphology
TT, LH, FSH
Kumar et al., 2023 [49] Cross sectional Patna, India - Pre COVID (102
COVID (137).
33.1 (6.7)
- sperm concentration, total sperm count, percentage of total motility, percentage of cells with residual cytoplasm, and the percentages of head and tail defects
Li et al, 2020 [50] Cross sectional Wuhan, China PCR Control (22)
COVID(23)
27–55 Control: 40.5§5.9
COVID: 40.8§8.5
Sperm concentration -
Livingstone et al, 2022 [51] Cross sectional Walsall (United Kingdom) PCR Control (25)
COVID (85)
Control: 68 (56–85)
COVID: 75 (64–85)
- - Testosterone
Ma et al, 2021 [52] Prospective cross sectional Zhongnan Hubei Province, China. PCR Control (273)
COVID (119)
Control: 39 (35.0–42.0)
COVID: 39 (35.0–44.0)
3 months Volume, concentration, vitality, mobile sperm count, non-progressive motility, progressive motility, immotility, normal sperm morphology Testosterone, oestrogen, FSH, LH, T/LH, T/E2 and FSH/LH
Maleki and Tartibian, 2021 [53] Prospective longitudinal Tehran, Iran PCR Control (84)
COVID(105)
20–40 13.2 ± 4.9 days.
Till first sampling
semen volume, progressive motility, sperm morphology, sperm concentration, and the number of spermatozoa -
Okçelik 2020 [54] Prospective Hacı Bektaş, Turkey PCR
Control (20)
COVID (24)
18–50 (35.5 ± 9.85) years 4Months FSH, LH and testosterone
Paoli et al, 2023 [55] Retrospective cross sectional Sapienza, Rome Nasopharyngeal swab positive for SARS-CoV-2 COVID-19 (80)
Control 1 (98)
Control 2 (98)
18 to 65
(43.9±11.7)
- Volume, total sperm number, progressive motility, and morphology FSH, LH,
Testosterone
Pazir et al, 2021 [56] Cross sectional Istanbul, Turkey PCR 24 18–49
Control: 36.4 ± 13
COVID: 38.2 ± 9.9
- Volume, concentration, progressive motility, total motility, mobile sperm count -
Piroozmanesh et al, 2021 [57] Cross sectional Qom, Iran PCR COVID-19 (60)
Control (40)
20–45 - sperm concentration, sperm total motility, sperm vitality, sperm normal forms, and TAC -
Rafiee & Tabei, 2021 [58] Interventional Shiraz, Iran PCR COVID-19 (100)
Control (100)
- - sperm
concentration, sperm motility, and normal sperm morphology, volume
-
Ruan et al, 2021 [59] Cross sectional Wuhan, China PCR COVID-19 (55)
Control (145)
20–50
Control: 30.69±4.36
COVID: 31.15±5.32
- Semen volumes, sperm concentrations, total sperm counts,
motile spermatozoa, morphologically normal spermatozoa, DNA
fragmentation index (DFI),
-
Salonia et al., 2021 [60] Cross sectional Milan, Italy PCR Control: 281
COVID: 286
Control: 46 (35–52)
COVID 19: 58 (49–66)
- - follicle- stimulating hormone (FSH),
luteinizing hormone (LH), tT, and 17β- estradiol (E2)
Salonia1 et al., 2022 [61] Prospective - PCR
ACE2
121 49–65 years 7months - Testosterone, oestradiol, LH, FSH
Sunnu et al 2022 [62] Prospective, longitudinal Surabaya, Indonesia PCR 14 27–48 6 month follow up semen volume, pH, sperm concentration, total, progressive, non-progressive, and immotile motility percentage -
Temiz et al 2020 [63] Prospective cross sectional Istanbul, Turkey PCR Control (10)
Pre-treatment (10)
Post-treatment (10)
18- to 60
Control: 36.64 ± 9.63
Pre-treatment: 38.00 ± 8.28
Post-treatment: 37.00 ± 8.69
4 days Semen volume, pH, count, concentration, progressive sperm motility, non-progressive sperm motility, total sperm motility, normal morphology Testosterone, FSH, LH, prolactin, Testosterone/LH, FSH/LH, prolactin/testosterone
Vahidi et al 2022 [64] Cross sectional Shahid Sadoughi, Iran PCR Acute (20)
Recovery (20)
18–45 - Sperm count, viability, progressive motility, morphology, immotile, non-progressive -
Wang et al 2022 [65] Retrospective, Wuhan, China PCR 26
- - Volume, concentration, progressive motility, sperm number, total progressive motility, complete motility, total normal form, normal form, immotile, total number of immotile FSH
Xu et al 2021 [66] Retrospective cross-sectional Wuhan, China SARS-CoV-2 RNA throat swab COVID-19 (39)
Control (22)
Control: 62 (52, 68.75)
COVID: 60.0 (46.5, 65.5)
- - (testosterone [T], follicle-stimulating hormone [FSH], luteinizing
hormone [LH], prolactin [PRL], and estradiol)

Assessment of the quality of evidence, RoB, and certainty of evidence

A larger part of the studies had good quality of evidence, except 7 of them [27,31,40,48,50,56,64] that had low quality of evidence (<5) (Table 2). Also, the included studies had moderate (4/9-6/9) to low (>6/9) RoB (Table 3). In addition, the certainty of evidence in the included studies were moderate to high, except in 3 studies [29,48,56] with low certainty of evidence (Table 4).

Table 2. Assessment of the quality of evidence of the eligible studies.

Study Study design Study size Method of measuring exposure Method of measuring outcome Analysis with adjustment Total
Abbas et al., 2022 [27] 0 1 0 2 0 3/10
Aksak et al., 2022 [28] 0 2 2 2 2 8/10
Al-Alami et al., 2022 [29] 0 2 1 1 1 5/10
Al-Bashiti et al., 2022 [30] 0 2 2 2 0 6/10
Azzawi and Abdulrahman, 2022 [31] 0 1 0 2 0 3/10
Best et al, 2021 [32] 1 1 2 2 0 6/10
Camici et al., 2021 [33] 0 0 2 2 1 5/10
Cinislioglu et al., 2022 [34] 1 2 2 2 1 8/10
Dipankar et al., 2022 [35] 1 0 2 2 01 6/10
Enikeev et al., 2022 [36] 1 1 2 2 01 7/10
Erbay et al., 2021 [37] 0 1 2 02 0 5/10
Falahieh et al., 2021 [38] 1 0 2 2 0 5/10
Gacci et al., 2021 [39] 0 0 2 2 1 5/10
Gul et al., 2021 [40] 0 0 1 1 2 4/10
Guo et al., 2021 [41] 1 1 2 2 1 7/10
Hadisi et al., 2022 [42] 0 1 2 2 1 6/10
Hamarat et al., 2022 [43] 1 0 2 2 1 6/10
Holtmann et al., 2020 [44] 0 0 2 2 1 5/10
Hu et al., 2022 [45] 1 1 2 2 1 7/10
Kadihasanoglu et al., 2021 [46] 1 2 2 2 1 8/10
Karkin & Gürlen, 2022 [47]
0 2 2 2 1 7/10
Koç and Keseroğlu, 2021 [48] 0 0 2 2 0 4/10
Kumar et al., 2023 [49] 1 0 2 2 0 5/10
Li et al., 2020 [50] 0 0 2 2 0 4/10
Livingstone et al., 2022 [51] 0 1 2 2 1 6/10
Ma et al., 2021 [52] 1 2 2 2 1 8/10
Maleki and Tartibian, 2021 [53] 1 2 2 2 1 8/10
Okçelik, 2020 [54] 1 0 2 2 2 7/10
Paoli et al., 2023 [55] 0 2 2 2 1 7/10
Pazir et al., 2021 [56] 0 0 2 2 0 4/10
Piroozmanesh et al., 2021 [57] 0 1 2 2 1 6/10
Rafiee and Tabei, 2021 [58] 2 1 2 2 0 7/10
Ruan et al., 2021 [59] 0 2 2 2 1 7/10
Salonia et al., 2021 [60] 0 2 2 2 0 6/10
Salonia1 et al., 2022 [61] 1 2 2 2 2 9/10
Sunnu et al., 2022 [62] 1 0 2 2 0 5/10
Temiz et al., 2020 [63] 2 0 2 2 1 7/10
Vahidi et al., 2022 [64] 0 0 2 2 0 4/10
Wang et al., 2022 [65] 0 0 2 2 1 5/10
Xu et al., 2021 [66] 0 1 2 2 2 7/10

Table 3. Risk of bias assessment of the eligible studies.


Study
Selection of exposed cohort Selection of non-exposed cohort Assessment
of exposure
Demonstration of outcome Comparability (basics) Comparability (others) Assessment outcome Length of follow-up Adequacy of follow-up Total
Abbas et al., 2022 [27] 1 1 0 1 1 0 1 0 0 5/9
Aksak et al., 2022 [28] 1 1 1 1 1 1 1 0 0 7/9
Al-Alami et al. 2022 [29] 1 1 1 1 0 0 1 0 0 5/9
Al-Bashiti et al, 2022 [30] 1 1 1 1 1 0 1 0 0 6/9
Azzawi and Abdulrahman, 2022 [31] 1 1 1 1 1 0 1 0 0 6/9
Best et al, 2021 [32] 1 1 1 1 1 1 1 1 1 9/9
Camici et al., 2021 [33] 1 1 1 1 1 1 1 0 0 6/9
Cinislioglu et al., 2022 1 1 1 1 1 1 1 1 1 9/9
Dipankar et al., 2022 [35] 1 0 1 1 1 1 1 1 1 8/9
Enikeev et al., 2022 [36] 1 1 1 1 1 1 1 1 1 9/9
Erbay et al, 2021 [37] 1 0 1 1 1 1 1 0 0 6/9
Falahieh et al., 2021 [38] 1 0 1 1 1 1 1 1 1 8/9
Gacci et al., 2021 [39] 1 0 1 1 1 1 1 1 1 8/9
Gul et al., 2021 [40] 1 1 1 1 1 1 1 0 0 7/9
Guo et al., 2021 [41] 1 1 1 1 1 0 1 1 1 8/9
Hadisi et al., 2022 [42] 1 1 1 1 1 1 1 0 0 7/9
Hamarat et al., 2022 [43] 1 0 1 1 1 0 1 1 1 7/9
Holtmann et al., 2020 [44] 1 1 1 1 1 0 1 0 0 6/9
Hu et al., 2022 [45] 1 1 1 1 1 0 1 1 1 8/9
Kadihasanoglu et al., 2021 [46] 1 1 1 1 1 1 1 - - 7/9
Karkin and Gürlen, 2022 [47] 1 0 1 1 1 1 1 1 1 8/9
Koç and Keseroğlu, 2021 [48] 1 0 1 1 0 0 1 0 0 4/9
Kumar et al., 2023 [49] 1 1 1 1 1 0 1 0 0 6/9
Li et al., 2020 [50] 1 1 1 1 1 1 1 0 0 7/9
Livingstone et al., 2022 [51] 1 1 1 1 1 0 1 0 0 6/9
Ma et al., 2020 [52] 1 1 1 1 1 0 1 1 1 8/9
Maleki and Tartibian, 2021 [53] 1 1 1 1 1 0 1 1 - 7/9
Okçelik, 2020 [54] 1 1 1 1 1 1 1 0 0 7/9
Paoli et al., 2023 [55] 1 1 1 1 1 1 1 1 1 9/9
Pazir et al., 2021 [56] 1 0 1 1 1 1 1 0 0 6/9
Piroozmanesh et al., 2021 [57] 1 1 1 1 1 1 1 0 0 7/9
Rafiee and Tabei, 2021 [58] 1 1 1 1 1 1 1 1 1 9/9
Ruan et al., 2021 [59] 1 1 1 1 1 1 1 0 0 8/9
Salonia et al., 2021 [60] 1 1 1 1 1 1 1 0 0 7/9
Salonia et al., 2022 [61] 1 0 1 1 1 0 1 1 1 7/9
Salonia et al., 2021 [60] 1 1 1 1 1 0 1 0 0 6/9
Sunnu et al., 2022 [62] 1 0 1 1 1 0 1 1 1 7/9
Temiz et al., 2020 [63] 1 1 1 1 1 1 1 1 1 9/9
Vahidi et al., 2022 [64] 1 0 1 1 1 1 1 0 0 6/9
Wang et al., 2022 [65] 1 1 1 1 1 0 1 0 0 6/9
Xu et al., 2021 [66] 1 1 1 1 1 0 1 0 0 6/9

Table 4. Assessment of certainty of evidence of the eligible studies.

Study Initial rating Downgrading? Upgrading? Confidence in body of evidence
Abbas et al., 2022 [27] High Yes↓ No Moderate
Aksak et al., 2022 [28] High No No High
Al-Alami et al., 2022 [29] Moderate Yes, 1 Yes, 1 Low
Al-Bashiti et al., 2022 [30] High Yes, 1 No Moderate
Azzawi and Abdulrahman, 2022 [31] High Yes, 1 No Moderate
Best et al, 2021 [32] High No No High
Camici et al., 2021 [33] High No No High
Cinislioglu et al., 2022 [34] High No No High
Dipankar et al., 2022 [35] Moderate No No Moderate
Enikeev et al., 2022 [36] High No No High
Erbay et al., 2021 [37] Moderate Yes, 1 Yes, 1 Moderate
Falahieh et al., 2021 [38] Moderate No No Moderate
Gacci et al., 2021 [39] High yes, 1 No Moderate
Gul et al., 2021 [40] High Yes (2) No Moderate
Guo et al., 2021 [41] High Yes, 1 No Moderate
Hadisi et al., 2022 [42] High Yes, 1 No Moderate
Hamarat et al., 2022 [43] High No No High
Holtmann et al., 2020 [44] High Yes, 1 No Moderate
Hu et al., 2022 [45] High No No High
Kadihasanoglu et al., 2021 [46] High Yes, 1 Yes High
Karkin and Gürlen, 2022 [47] Moderate Yes, 1 No High
Koç & Keseroğlu, 2021 [48] Moderate Yes,1 No Low
Kumar et al., 2023 [49] Moderate No Yes, 1 High`
Li et al., 2020 [50] High No No High
Livingstone et al., 2022 [51] High Yes, 1 No Moderate
Ma et al., 2021 [52] High Yes, 1 Yes, 1 High
Maleki and Tartibian, 2021 [53] High No No High
Okçelik, 2020 [54] High Yes, 1 No Moderate
Paoli et al., 2023 [55] Moderate No Yes, 1 High
Pazir et al., 2021 [56] Moderate Yes, 1 No Low
Piroozmanesh et al., 2021 [57] High No No High
Rafiee and Tabei, 2021 [58] High No No High
Ruan et al., 2021 [59] High No No High
Salonia et al., 2021 [60] High Yes, 1 Yes, 1 High
Salonia et al., 2022 [61] High Yes, 1 Yes, 1 High
Sunnu et al., 2022 [62] Moderate No No Moderate
Temiz et al., 2020 [63] High No No High
Vahidi et al 2022 [64] High Yes, 1 No Moderate
Wang et al 2022 [65] High Yes, 1 No Moderate
Xu et al., 2021 [66] High Yes (1) N0 Moderate

Meta-analysis and sensitivity analysis

Ejaculate volume

Based on the details of the meta-analysis of the 13 eligible studies that compared ejaculate volume in 591 COVID-positive patients with 722 COVID-negative individuals, SARS-CoV significantly reduced the ejaculate volume of infected patients (SMD -0.38 [95% CI: -0.70, -0.05] P = 0.02). Also, a marked inter-study diversity was noted (I2 = 85%; X2 P < 0.00001). Sensitivity analysis showed that ejaculate volume was still significantly reduced in SARS-CoV-infected patients when compared with the SARS-CoV-negative ones (SMD -0.42 [95% CI: -0.77, -0.07] P = 0.02), and the inter-study diversity was also significant (I2 = 85%; X2 P< 0.00001) (Fig 2A). Furthermore, the comparison of 286 COVID-positive patients before treatment with 300 patients after treatment revealed that the ejaculate volume was significantly increased after treatment when compared to before treatment (SMD -0.30 [95% CI: -0.46, -0.14] P = 0.0003), and there was no significant inter-study diversity (I2 = 36%; X2 P = 0.13). However, sensitivity analysis demonstrated that the ejaculate volume was not different before and after COVID treatment (SMD -0.24 [95% CI: -0.59, 0.11] P = 0.19). This showed marginal significant inter-study diversity (I2 = 55%; X2 P = 0.05) (Fig 2B). More so, it was observed that SAR-Cov-2 infection significantly reduced ejaculate volume of patients when compared with their pre-COVID (SMD -0.28 [95% CI: -0.55, -0.01] P = 0.04). There was a significant inter-study diversity (I2 = 67%; X2 P = 0.004). This significant difference persisted even after a sensitivity analysis (SMD -0.29 [95% CI: -0.55, -0.03] P = 0.03), and there was no significant inter-study diversity (I2 = 35%; X2 P = 0.20) (Fig 2C). The publication bias is shown in Fig 3.

Fig 2.

Fig 2

Forest plot of ejaculate volume comparing between COVID-19 positive and COVID-19 negative patients (A), before COVID-19 treatment and after COVID-19 treatment (B), and COVID-19 positive and preCOVID-19 period (C).

Fig 3.

Fig 3

Funnel plot of ejaculate volume comparing between COVID-19 positive and COVID-19 negative patients (A), before COVID-19 treatment and after COVID-19 treatment (B), and COVID-19 positive and preCOVID-19 period (C).

Sperm count

SARS-CoV-2 infection significantly reduced sperm count in contrast to non-infected persons (SMD -0.74 [95% CI: -1.43, -0.06] P = 0.03), and there was a marked heterogeneity between studies (I2 = 95%; X2 P < 0.00001); however after sensitivity analysis, SARS-CoV-2 infection only led to a marginal decline in sperm count (SMD -0.90 [95% CI: -1.91, 0.10] P = 0.08), and we observed a marked heterogeneity between studies (I2 = 96%; X2 P < 0.00001) (Fig 4A). However, COVID-19 treatment did not significantly improve sperm count when compared with the pre-treatment value (SMD -0.24 [95% CI: -0.66, 0.17] P = 0.24), and there was a marked heterogeneity between studies (I2 = 83%; X2 P < 0.00001), which persisted after sensitivity analysis (SMD -0.20 [95% CI: -0.78, 0.38] P = 0.50) with no marked heterogeneity between studies (I2 = 83%; X2 P < 0.00001) (Fig 4B). Nonetheless, SARS-CoV-2 infection significantly reduced sperm count when compared with the pre-COVID value of the patients (SMD -0.27 [95% CI: -0.45, -0.10] P = 0.002), and there no substantial inter-study diverseness was found (I2 = 37%; X2 P = 0.16) (Fig 4C). The funnels’ plots showing the publication bias are presented in Fig 5.

Fig 4.

Fig 4

Forest plot of sperm count comparing between COVID-19 positive and COVID-19 negative patients (A), before COVID-19 treatment and after COVID-19 treatment (B), and COVID-19 positive and preCOVID-19 period (C).

Fig 5.

Fig 5

Funnel plot of sperm count comparing between COVID-19 positive and COVID-19 negative patients (A), before COVID-19 treatment and after COVID-19 treatment (B), and COVID-19 positive and preCOVID-19 period (C).

Sperm concentration

Analysis of the impact of SARS-CoV-2 on sperm concentration revealed that the novel infection significantly reduced sperm concentration when compared with SARS-CoV-2-uninfected individuals (SMD -0.83 [95% CI: -1.46, -0.20] P = 0.010). Again, no substantial heterogeneity between studies was found (I2 = 95%; X2 P < 0.00001). After sensitivity analysis, SARS-CoV-2 only marginally reduced sperm concentration when compared with individuals who were not SARS-CoV-2 positive (SMD -1.02 [95% CI: -2.16, 0.12] P = 0.08). There was a significant inter-study variety (I2 = 97%; X2 P < 0.00001) (Fig 6A). However, when compare, we found no significant variability between sperm concentration before and after SARS-CoV-2 treatment (SMD -0.21 [95% CI: -0.53, 0.10] P = 0.19) and there was a significant inter-study diversity (I2 = 69%; X2 P = 0.001), even after sensitivity analysis (SMD -0.18 [95% CI: -0.59, 0.23] P = 0.39), and there was no marked heterogeneity between studies (I2 = 67%; X2 P = 0.010) (Fig 6B). Notwithstanding, SARS-CoV-2 significantly reduced sperm concentration of the patients when compared with the pre-COVID period (SMD -0.42 [95% CI: -0.70, -0.14] P = 0.004), we found no marked heterogeneity between studies (I2 = 69%; X2 P = 0.002). After sensitivity analysis, it was still observed that SARS-CoV-2 significantly reduced sperm concentration when compared with the pre-COVID values of the patients (SMD -0.31 [95% CI: -0.50, -0.12] P = 0.001), and there existed no significant inter-study variability (I2 = 32%; X2 P = 0.21) (Fig 6C). The publication bias as depicted by the funnels’ plots are shown in Fig 7.

Fig 6.

Fig 6

Forest plot of sperm concentration comparing between COVID-19 positive and COVID-19 negative patients (A), before COVID-19 treatment and after COVID-19 treatment (B), and COVID-19 positive and preCOVID-19 period (C).

Fig 7.

Fig 7

Funnel plot of sperm concentration comparing between COVID-19 positive and COVID-19 negative patients (A), before COVID-19 treatment and after COVID-19 treatment (B), and COVID-19 positive and preCOVID-19 period (C).

Sperm viability

SARS-CoV-2 significantly lowered sperm viability in comparison to SARS-CoV-2 uninfected individuals (SMD -1.08 [95% CI: -1.83, -0.33] P = 0.005). There was a notable inter-study diversity (I2 = 88%; X2 P < 0.00001). Sensitivity analysis demonstrated that SARS-CoV-2 yet significantly reduced sperm viability when compared to the control (SMD -1.34 [95% CI: -1.95, -0.72] P< 0.0001), and there was a substantial inter-study diversity (I2 = 73%; X2 P = 0.01) (Fig 8A). Moreover, sperm viability was significantly dropped in SARS-CoV-2 positive individuals before treatment in comparison to after treatment (SMD -0.84 [95% CI: -1.37, -0.31] P = 0.002), and there was a significant inter-study diversity (I2 = 75%; X2 P = 0.003). After sensitivity analysis, there was a significant drop in sperm viability among patients infected with SARS-CoV-2 positive when juxtaposed with the control (SMD -0.53 [95% CI: -0.86, -0.20] P = 0.002), but there existed no significant inter-study variability (I2 = 0%; X2 P = 0.53) (Fig 8B). In addition, when colligated with their premorbid state, sperm viability was significantly reduced in SARS-CoV-2 positive patients (SMD -0.85 [95% CI: -1.43, -0.26] P = 0.005). There was a substantial heterogeneity between studies (I2 = 82%; X2 P = 0.02) (Fig 8C). Fig 9 shows the funnels’ plots demonstrating the publication bias.

Fig 8.

Fig 8

Forest plot of sperm viability comparing between COVID-19 positive and COVID-19 negative patients (A), before COVID-19 treatment and after COVID-19 treatment (B), and COVID-19 positive and preCOVID-19 period (C).

Fig 9.

Fig 9

Funnel plot of sperm viability comparing between COVID-19 positive and COVID-19 negative patients (A), before COVID-19 treatment and after COVID-19 treatment (B), and COVID-19 positive and preCOVID-19 period (C).

Total and progressive sperm motility

The total sperm motility was only marginally diminished in SARS-CoV-2 positive patients when compared with the control (SMD -0.30 [95% CI: -0.61, 0.00] P = 0.05), and there was a marked heterogeneity between studies (I2 = 63%; X2 P = 0.008). After sensitivity analysis, the difference in the total sperm motility remained insignificant (SMD -0.34 [95% CI: -0.86, 0.18] P = 0.20), and there was a marked heterogeneity between studies (I2 = 82%; X2 P < 0.0001) (Fig 10A). Also, there was a marginal decline in total sperm motility in SARS-CoV-2 positive patients before, juxtaposed with after treatment (SMD -0.34 [95% CI: -0.86, 0.18] P = 0.20), and there was a marked heterogeneity between studies (I2 = 82%; X2 P < 0.0001), even after sensitivity analysis (SMD -0.54 [95% CI: -1.36, 0.28] P = 0.20), and there was a marked heterogeneity between studies (I2 = 84%; X2 P = 0.0002) (Fig 10B). However, SARS-CoV-2 led to a marked decline in total sperm motility in infected patients when compared with their premorbid values (SMD -0.68 [95% CI: -1.12, -0.24] P = 0.002), and there was a marked heterogeneity between studies (I2 = 87%; X2 P < 0.00001). After sensitivity analysis, the significant difference in total sperm motility persisted in SARS-CoV-2 positive patients between the infected state and premorbid state (SMD -0.73 [95% CI: -1.42, -0.04] P = 0.04), and there was a significant inter-study diversity (I2 = 90%; X2 P < 0.00001) (Fig 10C). The funnels’ plots showing the publication bias are presented in Fig 11.

Fig 10.

Fig 10

Forest plot of total sperm motility comparing between COVID-19 positive and COVID-19 negative patients (A), before COVID-19 treatment and after COVID-19 treatment (B), and COVID-19 positive and preCOVID-19 period (C).

Fig 11.

Fig 11

Funnel plot of total sperm motility comparing between COVID-19 positive and COVID-19 negative patients (A), before COVID-19 treatment and after COVID-19 treatment (B), and COVID-19 positive and preCOVID-19 period (C).

When colligated with the controls, progressive sperm motility substantially diminished in SARS-CoV-2 positive patients (SMD -0.48 [95% CI: -0.94, -0.02] P = 0.04), and there was a marked heterogeneity between studies (I2 = 86%; X2 P < 0.00001); although after sensitivity analysis, SARS-CoV-2 only caused a marginal decline in progressive sperm motility when compared with the control (SMD -0.51 [95% CI: -1.09, 0.07] P = 0.08), and there was a marked heterogeneity between studies (I2 = 89%; X2 P < 0.00001) (Fig 12A). In addition, COVID-19 significantly reduced progressive sperm motility in infected patients before treatment when compared with after treatment (SMD -0.41 [95% CI: -0.77, -0.05] P = 0.02), and there was a significant inter-study diversity (I2 = 77%; X2 P < 0.0001). Following sensitivity analysis, it was revealed that SARS-CoV-2 significantly reduced progressive sperm motility in infected patients before treatment when compared with after treatment (SMD -0.53 [95% CI: -1.02, -0.05] P = 0.03), and there was a marked heterogeneity between studies (I2 = 74%; X2 P = 0.002) (Fig 12B). Furthermore, SARS-CoV-2 caused a significant decline in progressive sperm motility in infected cohorts when compared with their premorbid state (SMD -0.49 [95% CI: -0.80, -0.19] P = 0.002), and there was a significant inter-study variation (I2 = 65%; X2 P = 0.009); however, this was observed to be marginal after sensitivity analysis (SMD -0.18 [95% CI: -0.56, 0.19] P = 0.34), and there was no significant inter-study diversity (I2 = 0%; X2 P = 0.81) (Fig 12C). The funnels’ plots showing publication bias are presented in Fig 13.

Fig 12.

Fig 12

Forest plot of progressive sperm motility comparing between COVID-19 positive and COVID-19 negative patients (A), before COVID-19 treatment and after COVID-19 treatment (B), and COVID-19 positive and preCOVID-19 period (C).

Fig 13.

Fig 13

Funnel plot of progressive sperm motility comparing between COVID-19 positive and COVID-19 negative patients (A), before COVID-19 treatment and after COVID-19 treatment (B), and COVID-19 positive and preCOVID-19 period (C).

Sperm morphology

SARS-CoV-2 infection did not significantly alter normal sperm morphology when compared with the COVID-19-negative controls (SMD -0.49 [95% CI: -1.33, 0.34] P = 0.25), and there was a marked heterogeneity between studies (I2 = 95%; X2 P < 0.00001), even after sensitivity analysis (SMD -0.70 [95% CI: -1.83, 0.43] P = 0.23), and there was a significant inter-study variation (I2 = 96%; X2 P < 0.00001) (Fig 14A). Similarly, SARS-CoV-2 did not considerably affect sperm morphology in infected patients before treatment in comparison with after treatment (SMD -0.19 [95% CI: -0.58, 0.21] P = 0.36), and there was a marked heterogeneity between studies (I2 = 84%; X2 P < 0.00001), despite sensitivity analysis (SMD -0.25 [95% CI: -0.81, 0.31] P = 0.38), and there was a marked heterogeneity between studies (I2 = 85%; X2 P < 0.00001) (Fig 14B). More so, SARS-CoV-2 caused a decline in normal sperm morphology in infected cohorts when colligated with their pre-morbid states (SMD -0.83 [95% CI: -1.69, 0.03] P = 0.06), and there was a marked heterogeneity between studies (I2 = 92%; X2 P < 0.00001). Nevertheless, there was a substantial reduction in the proportion of sperm with normal morphology after sensitivity analysis in SARS-CoV-2 positive patients when juxtaposed with their pre-COVID states (SMD -0.65 [95% CI: -1.03, -0.26] P = 0.0010), and there was no marked heterogeneity between studies (I2 = 0%; X2 P = 0.50) (Fig 14C). The publication bias as depicted by funnels’ plots are presented in Fig 15.

Fig 14.

Fig 14

Forest plot of normal sperm morphology comparing between COVID-19 positive and COVID-19 negative patients (A), before COVID-19 treatment and after COVID-19 treatment (B), and COVID-19 positive and preCOVID-19 period (C).

Fig 15.

Fig 15

Funnel plot of normal sperm morphology comparing between COVID-19 positive and COVID-19 negative patients (A), before COVID-19 treatment and after COVID-19 treatment (B), and COVID-19 positive and preCOVID-19 period (C).

Seminal leukocyte count

Only two studies reported data on seminal fluid leukocyte, comparing COVID-positive and COVID-negative patients, while three studies reported these parameters comparing COVID-pre- and post- treatment status of the infected patients. Unexpectedly, SARS-CoV-2 infection did not alter seminal leukocyte levels when compared with controls (SMD -0.01 [95% CI: -0.46, 0.43] P = 0.95), and there was no marked heterogeneity between studies (I2 = 29%; X2 P = 0.24). In addition, when seminal leukocytes in SARS-CoV-2 positive patients were colligated before and after treatment, there was no marked heterogeneity (SMD 0.34 [95% CI: -0.33, 1.00] P = 0.32), and there was a marked heterogeneity between studies (I2 = 80%; X2 P = 0.007) (Fig 16). The funnels’ plots showing the publication bias are shown in Fig 17.

Fig 16.

Fig 16

Forest plot of seminal leukocyte count comparing between COVID-19 positive and COVID-19 negative patients (A) and before COVID-19 treatment and after COVID-19 treatment (B).

Fig 17.

Fig 17

Funnel plot of seminal leukocyte count comparing between COVID-19 positive and COVID-19 negative patients (A) and before COVID-19 treatment and after COVID-19 treatment (B).

Circulating testosterone, oestrogen, and prolactin levels

SARS-CoV-2 infection engendered a substantial diminution in serum testosterone level when collocated with covid-19-negative controls (SMD -1.00 [95% CI: -1.49, -0.51] P< 0.0001), and there was a marked heterogeneity between studies (I2 = 96%; X2 P < 0.00001) (Fig 18A). However, SARS-CoV-2 infection did not significantly cause a wane in serum testosterone level in infected patients in comparison before and after treatment (SMD -0.87 [95% CI: -1.90, 0.16] P = 0.10), and there was a significant inter-study diversity (I2 = 95%; X2 P < 0.00001). After sensitivity analysis, serum testosterone level did not also show notable distinction between SARS-CoV-2 positive patients before and after treatment (SMD -1.30 [95% CI: -3.27, 0.67] P = 0.20), and there was a significant inter-study diversity (I2 = 98%; X2 P < 0.00001) (Fig 18B). More so, circulating testosterone level was not significantly altered in SARS-CoV-2 positive patients in colligation with their premorbid states (SMD -0.51 [95% CI: -1.22, 0.19] P = 0.15), and there was a marked heterogeneity between studies (I2 = 88%; X2 P = 0.0003) (Fig 18C). The publication bias using funnels’ plots are shown in Fig 19.

Fig 18.

Fig 18

Forest plot of serum testosterone level comparing between COVID-19 positive and COVID-19 negative patients (A), before COVID-19 treatment and after COVID-19 treatment (B), and COVID-19 positive and preCOVID-19 period (C).

Fig 19.

Fig 19

Funnel plot of serum testosterone level comparing between COVID-19 positive and COVID-19 negative patients (A), before COVID-19 treatment and after COVID-19 treatment (B), and COVID-19 positive and preCOVID-19 period (C).

In addition, serum concentration of oestrogen was marginally higher in SARS-CoV-2 patients in comparison with uninfected controls (SMD 0.62 [95% CI: 0.18, 1.07] P = 0.006). There was a marked heterogeneity between studies (I2 = 70%; X2 P = 0.04) (Fig 20A). The funnel’s plot showing the publication bias is shown in Fig 20B.

Fig 20.

Fig 20

Forest plot (A) and funnel plot (B) of serum oestrogen level comparing between COVID-19 positive and COVID-19 negative patients.

However, SARS-CoV-2 infection significantly increased serum prolactin concentration when compared with uninfected control (SMD 0.53 [95% CI: 0.11, 0.95] P = 0.01), and there was a notable heterogeneity between studies (I2 = 86%; X2 P < 0.00001) (Fig 21A). In comparison with SARS-CoV-2 positive patients after treatment, SARS-CoV-2 infection did not significantly alter serum prolactin level (SMD 0.39 [95% CI: -0.85, 1.64] P = 0.54), and there was a substantial inter-study variation (I2 = 91%; X2 P < 0.0001) (Fig 21B). The funnels’ plots showing the publication bias are shown in Fig 22.

Fig 21.

Fig 21

Forest plot of serum prolactin level comparing between COVID-19 positive and COVID-19 negative patients (A) and before COVID-19 treatment and after COVID-19 treatment (B).

Fig 22.

Fig 22

Funnel plot of serum prolactin level comparing between COVID-19 positive and COVID-19 negative patients (A) and before COVID-19 treatment and after COVID-19 treatment (B).

Serum levels of gonadotropins

Serum level of LH was significantly elevated in SARS-CoV-2 positive when juxtaposed with the uninfected control (SMD 0.75 [95% CI: 0.19, 1.31] P = 0.009), and there was a marked heterogeneity between studies (I2 = 96%; X2 P < 0.0001). After sensitivity analysis, serum LH level remained higher in SARS-CoV-2 positive cohorts in colligation with the negative cohorts (SMD 1.09 [95% CI: 0.10, 2.07] P = 0.03), and there was a substantial heterogeneity between studies (I2 = 97%; X2 P < 0.0001) (Fig 23A). However, serum LH level was not significantly different in SARS-CoV-2 positive before and after treatment (SMD 0.05 [95% CI: -0.28, 0.37] P = 0.78), and there was no significant inter-study diversity (I2 = 0%; X2 P = 0.76) (Fig 23B). In addition, there was no notable variance in serum LH levels in SARS-CoV-2 positive patients when compared with their pre-COVID state (SMD 0.54 [95% CI: -0.47, 1.56] P = 0.29), and there was a substantial heterogeneity between studies (I2 = 94%; X2 P < 0.00001) (Fig 23C). The publication bias, using funnels’ plots, are shown in Fig 24.

Fig 23.

Fig 23

Forest plot of serum luteinizing hormone (LH) level comparing between COVID-19 positive and COVID-19 negative patients (A), before COVID-19 treatment and after COVID-19 treatment (B), and COVID-19 positive and preCOVID-19 period (C).

Fig 24.

Fig 24

Funnel plot of serum luteinizing hormone (LH) level comparing between COVID-19 positive and COVID-19 negative patients (A), before COVID-19 treatment and after COVID-19 treatment (B), and COVID-19 positive and preCOVID-19 period (C).

Serum FSH was marginally increased in SARS-CoV-2 positive patients when compared with the control (SMD 0.13 [95% CI: -0.16, 0.43] P = 0.37), and there was a noteworthy heterogeneity between studies (I2 = 90%; X2 P < 0.00001), which persisted even after sensitivity analysis (SMD 0.13 [95% CI: -0.25, 0.51] P = 0.50), and there was a marked heterogeneity between studies (I2 = 91%; X2 P < 0.00001) (Fig 25A). In comparison with infected patients after treatment, FSH level in infected patients was not significantly different (SMD -0.36 [95% CI: -1.07, 0.35] P = 0.32), and there was a marked heterogeneity between studies (I2 = 89%; X2 P < 0.0001) (Fig 25C). Also, FSH level did not show any significant difference in SARS-CoV-2 positive when compared with the preCOVID state (SMD 0.11 [95% CI: -0.03, 0.25] P = 0.12), and there was no significant inter-study diversity (I2 = 0%; X2 P = 0.98) (Fig 25C). The funnels’ plot showing the publication bias are presented in Fig 26.

Fig 25.

Fig 25

Forest plot of serum follicle-stimulating hormone (FSH) level comparing between COVID-19 positive and COVID-19 negative patients (A), before COVID-19 treatment and after COVID-19 treatment (B), and COVID-19 positive and preCOVID-19 period (C).

Fig 26.

Fig 26

Funnel plot of serum follicle-stimulating hormone (FSH) level comparing between COVID-19 positive and COVID-19 negative patients (A), before COVID-19 treatment and after COVID-19 treatment (B), and COVID-19 positive and preCOVID-19 period (C).

Reproductive hormone indices

Serum testosterone/LH and FSH/LH were compared in SARS-CoV-2 positive patients and the uninfected controls. It was observed that SARS-CoV-2 engendered a significant decline in testosterone/LH level when compared with the control (SMD -2.44 [95% CI: -3.69, -1.19] P = 0.0001), and there existed a notable inter-study variation (I2 = 99%; X2 P < 0.00001) (Fig 27A). The publication bias is shown in Fig 27B.

Fig 27.

Fig 27

Forest (A) and funnel (B) plots of serum testosterone/luteinizing hormone (T/LH) ratio comparing between COVID-19 positive and COVID-19 negative patients.

Furthermore, SARS-CoV-2 infection resulted in a marginal reduction in FSH/LH level when juxtaposed with the control (SMD -2.06 [95% CI: -4.36, 0.25] P = 0.08), and there was a significant inter-study diversity (I2 = 98%; X2 P < 0.00001) (Fig 28A). The publication bias is shown in Fig 28B.

Fig 28.

Fig 28

Forest (A) and funnel (B) plots of serum follicle-stimulating hormone/luteinizing hormone (FSH/LH) ratio comparing between COVID-19 positive and COVID-19 negative patients.

Discussion

Although the achievement of clinical pregnancy and live birth is the true test of infertility, conventional semen analysis remains the cornerstone of the diagnosis and management of male infertility [67]. Evaluation of male sex hormones is also a useful tool in the management of male infertility. Our present data revealed that SARS-CoV-2 caused reductions in ejaculate volume, sperm count, concentration, viability, normal morphology, and total and progressive motility. These findings were associated with SARS-CoV-2-induced decline in serum testosterone level, and increase in oestrogen, prolactin, LH, and testosterone/LH levels. These data convincingly demonstrate that SARS-CoV-2 may impede fertility in males by engendering a nadir of semen quality and distorting male reproductive hormone milieu.

The present findings corroborate and form an extension of the previous findings of the meta-analysis of Corona et al. [21], Tiwari et al. [22], and Xie et al [68]. Our present findings provide an update and robust data demonstrating the detrimental sequelae of SARS-CoV-2 on semen quality and male sex hormones. These data also augment the evidence available in the scientific literature that support the grievous consequence which SARS-CoV-2 impacts on male reproductive function.

It is plausible to infer that SARAS-CoV-2 may impair male fertility through multiple pathways. The expression of SARS-CoV-2 virus in the semen of infected patients [6971] suggests that the virus may exert a local effect on the sperm cells. SARS-CoV-2 virus promotes oxidative stress evinced by heightened reactive oxygen species (ROS) generation, malondialdehyde (MDA) level and decline in total antioxidant capacity (TAC) in the semen fluid of infected patients [38]. Since the sperm cells are rich in polyunsaturated fatty acids that make them highly susceptible to ROS attack, SARS-CoV-2-induced ROS generation in the spermatozoa may cause oxidative sperm damage, leading to reduced sperm count, viability, motility, concentration, and normal morphology.

In addition, studies have shown that SARS-CoV-2 positively modulates cytokines30 through extracellular-regulated protein kinase (ERK) and p38 mitogen-activated protein kinases (MAPK) activation [3,4,72], thus activating a cascade of immune responses, which lead to a hyper-inflammatory state that compromise the blood-testis-barrier [3,73,74] and increase the susceptibility of the testis and germ cells to SARS-CoV-2-driven ROS attack. This may explain the reduced semen quality and testosterone levels observed in SARS-CoV-2 positive patient. Since LH and FSH levels were not reduced in association with reduced testosterone, it is credible to infer that SARS-CoV-2-induced testosterone decline is a local effect and not due to the suppression of the hypothalamic-pituitary-testicular axis. The observed rise in circulating oestrogen and prolactin concentrations in SARS-CoV-2 positive patients may also suggest the endocrine-disrupting activity of the viral infection as a pathway of impairing male fertility.

Beyond semen quality, SARS-CoV-2 infection may also impact on the success of testicular sperm extraction, hence on the outcome of assisted reproductive techniques (ART). Testosterone/LH is a known predictor of sperm concentration and successful sperm retrieval [75,76]; therefore, the reduced testosterone/LH level in SARS-CoV-infected patients explains the reduced sperm concentration found in the patients and also reveals a likelihood of reduced success rate of sperm retrieval in them. This implies that SARS-CoV-2 may lower the rate of spontaneous conception as well as reduce the success of ARTs. Since testosterone/LH is also a predictor of Leydig cell function [76,77], it is also credible to infer that SARS-CoV-2 impairs Leydig cell function. This may the reduced testosterone found in SARS-CoV-2 positive men.

It is imperative to note that the duration of the infection and time between infection and semen collection might have an effect on the study outcomes. Findings of Koç and Keseroğlu [48], and Temiz et al.[63] that performed semen analysis after 5 and 4 days of infection respectively showed insignificant changes for most of the sperm variables and testosterone level. It is also worth mentioning that most of the eligible studies were published between 2020 and 2022, indicating that they were likely before the introduction of COVID-19 vaccines and also before the infection by the most recent and less dangerous variants of COVID-19; hence, the impact of the virus may differ. It is likely that COVID-19 vaccination confers protection against sperm-endocrine aberrations induced by the novel virus. More so, the less virulent variants of COVID-19 may exert less adverse effect on the sperm-endocrine system than the virulent variant. Just like other systematic viral infections, SARS-CoV-2 impairs male fertility possibly by upregulating pro-inflammatory cytokines and promoting hyper-inflammation and oxidative stress or direct sperm-endocrine alterations [3]. The peculiarity of SARS-CoV-2 hinges around its novelty.

Despite the fascinating and convincing findings of this study, there are some limitations. First, the effect of SARS-CoV-2 on live-birth rate is not presented, which limits our conclusion on the effect of the viral diseases on male fertility. Also, there were remarkable risk of publication bias in many of the studies. More so, the significant diversity in most of the studies is a major concern, although this was controlled by a sensitivity analysis. Lastly, studies exploring the actual mechanisms on SARS-CoV-2 on semen quality and male sex hormones are lacking and most studies were speculative. Nonetheless, the present meta-analysis provides an update and a robust data delineating the consequences of SARS-CoV-2 on conventional semen parameters and male sex hormones. Detailed Strengths, Weaknesses, Opportunities, and Threats (SWOT) analysis of the current study is shown in Fig 29.

Fig 29. The Strengths, Weaknesses, Opportunities, and Threats (SWOT) analysis of the current study.

Fig 29

In conclusion, this study demonstrates that SARS-CoV-2 may diminish fertility in male by reducing semen quality viz. ejaculate volume, sperm count, concentration, viability, motility, and normal morphology through a hormone-dependent mechanism (reduction in testosterone level and increase in oestrogen and prolactin levels). It is also likely that the induction of oxidative stress and inflammatory injury play significant roles. More well-designed studies which accommodate larger sample size should be conducted to validate these findings, evaluate the long term effect of SARS-CoV-2 on sperm function and testosterone concentration, establish the associated mechanisms, and address the weaknesses highlighted are recommended.

Supporting information

S1 Checklist. PRISMA 2020 checklist.

(DOCX)

pone.0307396.s001.docx (30.8KB, docx)
S1 Raw data

(ZIP)

pone.0307396.s002.zip (181.4KB, zip)

Data Availability

All data are in the paper and/or Supporting Information files.

Funding Statement

The author(s) received no specific funding for this work.

References

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PONE-D-24-16835SARS-CoV-2 impairs male fertility by targeting semen quality and testosterone level: A Systematic Review and Meta-analysisPLOS ONE

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6. Please review your reference list to ensure that it is complete and correct. If you have cited papers that have been retracted, please include the rationale for doing so in the manuscript text, or remove these references and replace them with relevant current references. Any changes to the reference list should be mentioned in the rebuttal letter that accompanies your revised manuscript. If you need to cite a retracted article, indicate the article’s retracted status in the References list and also include a citation and full reference for the retraction notice.

Additional Editor Comments:

This is an interesting paper describing the effects of a Covid infection on the male reproductive system. Both referees are very positive but have some suggestions for minor revsion.

[Note: HTML markup is below. Please do not edit.]

Reviewers' comments:

Reviewer's Responses to Questions

Comments to the Author

1. Is the manuscript technically sound, and do the data support the conclusions?

The manuscript must describe a technically sound piece of scientific research with data that supports the conclusions. Experiments must have been conducted rigorously, with appropriate controls, replication, and sample sizes. The conclusions must be drawn appropriately based on the data presented.

Reviewer #1: Yes

Reviewer #2: Yes

**********

2. Has the statistical analysis been performed appropriately and rigorously?

Reviewer #1: Yes

Reviewer #2: Yes

**********

3. Have the authors made all data underlying the findings in their manuscript fully available?

The PLOS Data policy requires authors to make all data underlying the findings described in their manuscript fully available without restriction, with rare exception (please refer to the Data Availability Statement in the manuscript PDF file). The data should be provided as part of the manuscript or its supporting information, or deposited to a public repository. For example, in addition to summary statistics, the data points behind means, medians and variance measures should be available. If there are restrictions on publicly sharing data—e.g. participant privacy or use of data from a third party—those must be specified.

Reviewer #1: Yes

Reviewer #2: Yes

**********

4. Is the manuscript presented in an intelligible fashion and written in standard English?

PLOS ONE does not copyedit accepted manuscripts, so the language in submitted articles must be clear, correct, and unambiguous. Any typographical or grammatical errors should be corrected at revision, so please note any specific errors here.

Reviewer #1: Yes

Reviewer #2: Yes

**********

5. Review Comments to the Author

Please use the space provided to explain your answers to the questions above. You may also include additional comments for the author, including concerns about dual publication, research ethics, or publication ethics. (Please upload your review as an attachment if it exceeds 20,000 characters)

Reviewer #1: Dear Authors,

Congratulations for this interesting piece of research.

Some items worth considering:

1. It might be worth mentioning that duration of the infection and time between infection and semen collection might have an effect on the study outcomes. Based on current literature and on textbook knowledge, high fever might have a transient effect on semen analysis which might (or might not) be temporary.

2. Likewise, it might be worth mentioning if the studies were performed in early 2020, after introduction of COVID-19 vaccines, or following infection by the most recent and less dangerous variants of COVID-19.

3. Some of the studies were done before the release of the 2021 WHO manual. It might also be worth highlighting this difference, since it can affect the interpretation of the results, and maybe consider this when performing subgroup analyses.

Reviewer #2: The manuscript to be assessed is a systematic review and meta-analysis of the influence of SARS-CoV-2 infection on male fertility. There are already meta-analyses on this topic, but the authors explain very well that, in their view, there are methodological weaknesses in the already published meta-analyses that they have explicitly addressed in their work.

Overall, this is a methodologically very well conducted meta-analysis. The methodological steps and statistical analyses carried out are very well documented and openly communicated. The associated illustrations, especially the forest plots, are very detailed and comprehensive, which seems necessary due to the large number of parameters analysed.

Overall, in my view, this is a very mature manuscript for which I would like to congratulate the authors. The lack of originality in terms of existing publications is addressed by the authors and clearly explained what the methodological changes are here. As a suggestion for improvement, I would only add 2 aspects to the discussion.

1) I miss the discussion of the longitudinal aspect here, i.e. the duration of a potentially negative influence of SARS-CoV-2 infection on the reproductive functions of men, also with regard to the control intervals of the underlying studies.

2) in my view, it should also be discussed to what extent a SARS-CoV-2 infection represents a special feature compared to other systemically active viral infections, some of which are very severe (e.g. influenza), or whether this is not to be expected independently of the virus type.

**********

6. PLOS authors have the option to publish the peer review history of their article (what does this mean?). If published, this will include your full peer review and any attached files.

If you choose “no”, your identity will remain anonymous but your review may still be made public.

Do you want your identity to be public for this peer review? For information about this choice, including consent withdrawal, please see our Privacy Policy.

Reviewer #1: No

Reviewer #2: No

**********

[NOTE: If reviewer comments were submitted as an attachment file, they will be attached to this email and accessible via the submission site. Please log into your account, locate the manuscript record, and check for the action link "View Attachments". If this link does not appear, there are no attachment files.]

While revising your submission, please upload your figure files to the Preflight Analysis and Conversion Engine (PACE) digital diagnostic tool, https://pacev2.apexcovantage.com/. PACE helps ensure that figures meet PLOS requirements. To use PACE, you must first register as a user. Registration is free. Then, login and navigate to the UPLOAD tab, where you will find detailed instructions on how to use the tool. If you encounter any issues or have any questions when using PACE, please email PLOS at figures@plos.org. Please note that Supporting Information files do not need this step.

PLoS One. 2024 Sep 9;19(9):e0307396. doi: 10.1371/journal.pone.0307396.r002

Author response to Decision Letter 0


27 Jun 2024

When submitting your revision, we need you to address these additional requirements.

1. Please ensure that your manuscript meets PLOS ONE's style requirements, including those for file naming. The PLOS ONE style templates can be found at

https://journals.plos.org/plosone/s/file?id=wjVg/PLOSOne_formatting_sample_main_body.pdf and

https://journals.plos.org/plosone/s/file?id=ba62/PLOSOne_formatting_sample_title_authors_affiliations.pdf

Response: Thanks. This has been ensured.

2. We noticed you have some minor occurrence of overlapping text with the following previous publication(s), which needs to be addressed:

https://www.frontiersin.org/journals/endocrinology/articles/10.3389/fendo.2023.1227836/full

In your revision ensure you cite all your sources (including your own works), and quote or rephrase any duplicated text outside the methods section. Further consideration is dependent on these concerns being addressed.

Response: Thanks. Overlapping phrases have been modified.

3. Please provide a complete Data Availability Statement in the submission form, ensuring you include all necessary access information or a reason for why you are unable to make your data freely accessible. If your research concerns only data provided within your submission, please write "All data are in the manuscript and/or supporting information files" as your Data Availability Statement.

Response: Thanks. The Data Availability Statement is included as “All data are in the manuscript and/or supporting information files”.

4. Please include your tables as part of your main manuscript and remove the individual files. Please note that supplementary tables (should remain/ be uploaded) as separate ""supporting information"" files

Response: Thanks. The Tables have been added as part of the main manuscript.

5. Please include captions for your Supporting Information files at the end of your manuscript, and update any in-text citations to match accordingly. Please see our Supporting Information guidelines for more information: http://journals.plos.org/plosone/s/supporting-information.

Response: Thanks.

6. Please review your reference list to ensure that it is complete and correct. If you have cited papers that have been retracted, please include the rationale for doing so in the manuscript text, or remove these references and replace them with relevant current references. Any changes to the reference list should be mentioned in the rebuttal letter that accompanies your revised manuscript. If you need to cite a retracted article, indicate the article’s retracted status in the References list and also include a citation and full reference for the retraction notice.

Response: Thanks. The references have been checked for appropriateness.

Additional Editor Comments:

This is an interesting paper describing the effects of a Covid infection on the male reproductive system. Both referees are very positive but have some suggestions for minor revsion.

Response: Thanks. All concerns raised have been addressed.

[Note: HTML markup is below. Please do not edit.]

Reviewers' comments:

Reviewer's Responses to Questions

Comments to the Author

1. Is the manuscript technically sound, and do the data support the conclusions?

The manuscript must describe a technically sound piece of scientific research with data that supports the conclusions. Experiments must have been conducted rigorously, with appropriate controls, replication, and sample sizes. The conclusions must be drawn appropriately based on the data presented.

Reviewer #1: Yes

Reviewer #2: Yes

________________________________________

2. Has the statistical analysis been performed appropriately and rigorously?

Reviewer #1: Yes

Reviewer #2: Yes

________________________________________

3. Have the authors made all data underlying the findings in their manuscript fully available?

The PLOS Data policy requires authors to make all data underlying the findings described in their manuscript fully available without restriction, with rare exception (please refer to the Data Availability Statement in the manuscript PDF file). The data should be provided as part of the manuscript or its supporting information, or deposited to a public repository. For example, in addition to summary statistics, the data points behind means, medians and variance measures should be available. If there are restrictions on publicly sharing data—e.g. participant privacy or use of data from a third party—those must be specified.

Reviewer #1: Yes

Reviewer #2: Yes

________________________________________

4. Is the manuscript presented in an intelligible fashion and written in standard English?

PLOS ONE does not copyedit accepted manuscripts, so the language in submitted articles must be clear, correct, and unambiguous. Any typographical or grammatical errors should be corrected at revision, so please note any specific errors here.

Reviewer #1: Yes

Reviewer #2: Yes

________________________________________

5. Review Comments to the Author

Please use the space provided to explain your answers to the questions above. You may also include additional comments for the author, including concerns about dual publication, research ethics, or publication ethics. (Please upload your review as an attachment if it exceeds 20,000 characters)

Reviewer #1: Dear Authors,

Congratulations for this interesting piece of research.

Some items worth considering:

1. It might be worth mentioning that duration of the infection and time between infection and semen collection might have an effect on the study outcomes. Based on current literature and on textbook knowledge, high fever might have a transient effect on semen analysis which might (or might not) be temporary.

Response: Thanks. This has been included.

2. Likewise, it might be worth mentioning if the studies were performed in early 2020, after introduction of COVID-19 vaccines, or following infection by the most recent and less dangerous variants of COVID-19.

Response: Thanks. This has been included.

3. Some of the studies were done before the release of the 2021 WHO manual. It might also be worth highlighting this difference, since it can affect the interpretation of the results, and maybe consider this when performing subgroup analyses.

Response: Thanks. The WHO guideline would not affect the interpretation since the infective state was compared with a control (either COVID negative or PreCOVID or after treatment) and not just with the WHO standards.

Reviewer #2: The manuscript to be assessed is a systematic review and meta-analysis of the influence of SARS-CoV-2 infection on male fertility. There are already meta-analyses on this topic, but the authors explain very well that, in their view, there are methodological weaknesses in the already published meta-analyses that they have explicitly addressed in their work.

Overall, this is a methodologically very well conducted meta-analysis. The methodological steps and statistical analyses carried out are very well documented and openly communicated. The associated illustrations, especially the forest plots, are very detailed and comprehensive, which seems necessary due to the large number of parameters analysed.

Response: Thanks.

Overall, in my view, this is a very mature manuscript for which I would like to congratulate the authors. The lack of originality in terms of existing publications is addressed by the authors and clearly explained what the methodological changes are here. As a suggestion for improvement, I would only add 2 aspects to the discussion.

1) I miss the discussion of the longitudinal aspect here, i.e. the duration of a potentially negative influence of SARS-CoV-2 infection on the reproductive functions of men, also with regard to the control intervals of the underlying studies.

Response: Thanks. This has been included as suggested.

2) in my view, it should also be discussed to what extent a SARS-CoV-2 infection represents a special feature compared to other systemically active viral infections, some of which are very severe (e.g. influenza), or whether this is not to be expected independently of the virus type.

Response: Thanks. This has been included as suggested.

________________________________________

6. PLOS authors have the option to publish the peer review history of their article (what does this mean?). If published, this will include your full peer review and any attached files.

If you choose “no”, your identity will remain anonymous but your review may still be made public.

Do you want your identity to be public for this peer review? For information about this choice, including consent withdrawal, please see our Privacy Policy.

Reviewer #1: No

Reviewer #2: No

Attachment

Submitted filename: Response to Reviewers Comments_PlosOne.doc

pone.0307396.s003.doc (40KB, doc)

Decision Letter 1

Stefan Schlatt

4 Jul 2024

SARS-CoV-2 impairs male fertility by targeting semen quality and testosterone level: A Systematic Review and Meta-analysis

PONE-D-24-16835R1

Dear Dr. Akhigbe,

We’re pleased to inform you that your manuscript has been judged scientifically suitable for publication and will be formally accepted for publication once it meets all outstanding technical requirements.

Within one week, you’ll receive an e-mail detailing the required amendments. When these have been addressed, you’ll receive a formal acceptance letter and your manuscript will be scheduled for publication.

An invoice will be generated when your article is formally accepted. Please note, if your institution has a publishing partnership with PLOS and your article meets the relevant criteria, all or part of your publication costs will be covered. Please make sure your user information is up-to-date by logging into Editorial Manager at Editorial Manager® and clicking the ‘Update My Information' link at the top of the page. If you have any questions relating to publication charges, please contact our Author Billing department directly at authorbilling@plos.org.

If your institution or institutions have a press office, please notify them about your upcoming paper to help maximize its impact. If they’ll be preparing press materials, please inform our press team as soon as possible -- no later than 48 hours after receiving the formal acceptance. Your manuscript will remain under strict press embargo until 2 pm Eastern Time on the date of publication. For more information, please contact onepress@plos.org.

Kind regards,

Stefan Schlatt

Academic Editor

PLOS ONE

Additional Editor Comments (optional):

Reviewers' comments:

Reviewer's Responses to Questions

Comments to the Author

1. If the authors have adequately addressed your comments raised in a previous round of review and you feel that this manuscript is now acceptable for publication, you may indicate that here to bypass the “Comments to the Author” section, enter your conflict of interest statement in the “Confidential to Editor” section, and submit your "Accept" recommendation.

Reviewer #1: All comments have been addressed

Reviewer #2: All comments have been addressed

**********

2. Is the manuscript technically sound, and do the data support the conclusions?

The manuscript must describe a technically sound piece of scientific research with data that supports the conclusions. Experiments must have been conducted rigorously, with appropriate controls, replication, and sample sizes. The conclusions must be drawn appropriately based on the data presented.

Reviewer #1: Yes

Reviewer #2: Yes

**********

3. Has the statistical analysis been performed appropriately and rigorously?

Reviewer #1: Yes

Reviewer #2: Yes

**********

4. Have the authors made all data underlying the findings in their manuscript fully available?

The PLOS Data policy requires authors to make all data underlying the findings described in their manuscript fully available without restriction, with rare exception (please refer to the Data Availability Statement in the manuscript PDF file). The data should be provided as part of the manuscript or its supporting information, or deposited to a public repository. For example, in addition to summary statistics, the data points behind means, medians and variance measures should be available. If there are restrictions on publicly sharing data—e.g. participant privacy or use of data from a third party—those must be specified.

Reviewer #1: Yes

Reviewer #2: (No Response)

**********

5. Is the manuscript presented in an intelligible fashion and written in standard English?

PLOS ONE does not copyedit accepted manuscripts, so the language in submitted articles must be clear, correct, and unambiguous. Any typographical or grammatical errors should be corrected at revision, so please note any specific errors here.

Reviewer #1: Yes

Reviewer #2: (No Response)

**********

6. Review Comments to the Author

Please use the space provided to explain your answers to the questions above. You may also include additional comments for the author, including concerns about dual publication, research ethics, or publication ethics. (Please upload your review as an attachment if it exceeds 20,000 characters)

Reviewer #1: Dear Authors,

Thanks for addressing my previous concerns. I believe that this manuscript does not need any further edits.

Reviewer #2: Congratulations to this nice piece of science. After revision absolutely worthwhile for publication in my view

**********

7. PLOS authors have the option to publish the peer review history of their article (what does this mean?). If published, this will include your full peer review and any attached files.

If you choose “no”, your identity will remain anonymous but your review may still be made public.

Do you want your identity to be public for this peer review? For information about this choice, including consent withdrawal, please see our Privacy Policy.

Reviewer #1: No

Reviewer #2: No

**********

Acceptance letter

Stefan Schlatt

17 Jul 2024

PONE-D-24-16835R1

PLOS ONE

Dear Dr. Akhigbe,

I'm pleased to inform you that your manuscript has been deemed suitable for publication in PLOS ONE. Congratulations! Your manuscript is now being handed over to our production team.

At this stage, our production department will prepare your paper for publication. This includes ensuring the following:

* All references, tables, and figures are properly cited

* All relevant supporting information is included in the manuscript submission,

* There are no issues that prevent the paper from being properly typeset

If revisions are needed, the production department will contact you directly to resolve them. If no revisions are needed, you will receive an email when the publication date has been set. At this time, we do not offer pre-publication proofs to authors during production of the accepted work. Please keep in mind that we are working through a large volume of accepted articles, so please give us a few weeks to review your paper and let you know the next and final steps.

Lastly, if your institution or institutions have a press office, please let them know about your upcoming paper now to help maximize its impact. If they'll be preparing press materials, please inform our press team within the next 48 hours. Your manuscript will remain under strict press embargo until 2 pm Eastern Time on the date of publication. For more information, please contact onepress@plos.org.

If we can help with anything else, please email us at customercare@plos.org.

Thank you for submitting your work to PLOS ONE and supporting open access.

Kind regards,

PLOS ONE Editorial Office Staff

on behalf of

Dr. Stefan Schlatt

Academic Editor

PLOS ONE

Associated Data

    This section collects any data citations, data availability statements, or supplementary materials included in this article.

    Supplementary Materials

    S1 Checklist. PRISMA 2020 checklist.

    (DOCX)

    pone.0307396.s001.docx (30.8KB, docx)
    S1 Raw data

    (ZIP)

    pone.0307396.s002.zip (181.4KB, zip)
    Attachment

    Submitted filename: Response to Reviewers Comments_PlosOne.doc

    pone.0307396.s003.doc (40KB, doc)

    Data Availability Statement

    All data are in the paper and/or Supporting Information files.


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