Evidence map›Paper›PMID 23242914›Full record

SynthesisHuman reproduction update

BMI in relation to sperm count: an updated systematic review and collaborative meta-analysis.

N Sermondade, C Faure, L Fezeu, A G Shayeb, J P Bonde, T K Jensen, M Van Wely, J Cao, A C Martini, M Eskandar and 17 more

2 registry-linked trialsAbstract readMeta-AnalysisSystematic Review
PubMed Full text at PMC Publisher
In one paragraph

Synthesis in Human reproduction update. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 253 papers, 12 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
253citing papers in PubMed, 12 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT01974947 completednot on this map

Relationship Between Sperm Parameters and Metabolic Syndrome in a Infertile Couple Partner Man

TypeobservationalSponsorAssistance Publique - Hôpitaux de ParisRan2013 to 2016Enrolled170ConditionsMale InfertilityArmsBlood sample, sperm sample and clinical examens
NCT03553927 nacompletednot on this map

Investigating the Physiological Effects of Weight Loss on Male Fertility

TypeinterventionalSponsorImperial College LondonRan2018 to 2023Enrolled73ConditionsMale Infertility, Obesity, Weight LossArmsLow Energy Diet, NHS advice on healthy eating
3 · Its place in the literature

Who cites it

253 citing papers in PubMed, 12 syntheses or guidelines pooled it.

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193 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

27 authors.

N SermondadeService d'Histologie-Embryologie-Cytogénétique-CECOS, Hôpital Jean Verdier (AP-HP), Bondy, France.
C Faure
L Fezeu
A G Shayeb
J P Bonde
T K Jensen
M Van Wely
J Cao
A C Martini
M Eskandar
J E Chavarro
S Koloszar
J M Twigt
C H Ramlau-Hansen
E Borges
F Lotti
R P M Steegers-Theunissen
B Zorn
A J Polotsky
S La Vignera
B Eskenazi
K Tremellen
E V Magnusdottir
I Fejes
S Hercberg
R Lévy
S Czernichow

Funding

Training CoreP42ES004705 · NIEHS · UNIVERSITY OF CALIFORNIA BERKELEY · PI MORELLO-FROSCH, RACHEL ADELE · 1987 to 2025
$74.6M
Transgenic CoreP30DK046200 · NIDDK · TUFTS MEDICAL CENTER · PI GREENBERG, ANDREW S, PERISSI, VALENTINA · 1992 to 2021
$25.0M
NIDDK NIH HHS 5P30DK046200-19NIEHS NIH HHS P42ES04705
6 · The paper itself

Abstract

BACKGROUND The global obesity epidemic has paralleled a decrease in semen quality. Yet, the association between obesity and sperm parameters remains controversial. The purpose of this report was to update the evidence on the association between BMI and sperm count through a systematic review with meta-analysis. METHODS A systematic review of available literature (with no language restriction) was performed to investigate the impact of BMI on sperm count. Relevant studies published until June 2012 were identified from a Pubmed and EMBASE search. We also included unpublished data (n = 717 men) obtained from the Infertility Center of Bondy, France. Abstracts of relevant articles were examined and studies that could be included in this review were retrieved. Authors of relevant studies for the meta-analysis were contacted by email and asked to provide standardized data. RESULTS A total of 21 studies were included in the meta-analysis, resulting in a sample of 13 077 men from the general population and attending fertility clinics. Data were stratified according to the total sperm count as normozoospermia, oligozoospermia and azoospermia. Standardized weighted mean differences in sperm concentration did not differ significantly across BMI categories. There was a J-shaped relationship between BMI categories and risk of oligozoospermia or azoospermia. Compared with men of normal weight, the odds ratio (95% confidence interval) for oligozoospermia or azoospermia was 1.15 (0.93-1.43) for underweight, 1.11 (1.01-1.21) for overweight, 1.28 (1.06-1.55) for obese and 2.04 (1.59-2.62) for morbidly obese men. CONCLUSIONS Overweight and obesity were associated with an increased prevalence of azoospermia or oligozoospermia. The main limitation of this report is that studied populations varied, with men recruited from both the general population and infertile couples. Whether weight normalization could improve sperm parameters should be evaluated further.

Indexed as

Body Mass IndexSperm CountAzoospermiaBody WeightFertilityFranceHumansMaleObesityOdds RatioOligospermiaOverweightSemen AnalysisSpermatozoa

Identifiers

PMID23242914
PMCPMC3621293

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.