Evidence map›Paper›PMID 34759620›Full record

ArticleJournal of human reproductive sciences

Seasonal Influence on Assisted Reproductive Technology Outcomes: A Retrospective Analysis of 1409 Cycles.

Amandeep Singh, Treasa Joseph, Reka Karuppusami, Aleyamma Thayparmbil Kunjummen, Mohan Shashikant Kamath, Ann Margaret Mangalaraj

Abstract read
In one paragraph

Article in Journal of human reproductive sciences. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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

What it found

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

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

2 · The registry

The trial behind it

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

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

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

5 · Who and what money

Authors and funding

6 authors.

Amandeep SinghDepartment of Reproductive Medicine, Christian Medical College, Vellore, Tamil Nadu, India.
Treasa JosephDepartment of Reproductive Medicine, Christian Medical College, Vellore, Tamil Nadu, India.
Reka KaruppusamiDepartment of Biostatistics, Christian Medical College, Vellore, Tamil Nadu, India.
Aleyamma Thayparmbil KunjummenDepartment of Reproductive Medicine, Christian Medical College, Vellore, Tamil Nadu, India.
Mohan Shashikant KamathDepartment of Reproductive Medicine, Christian Medical College, Vellore, Tamil Nadu, India.
Ann Margaret MangalarajDepartment of Reproductive Medicine, Christian Medical College, Vellore, Tamil Nadu, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIt is well known that seasonal variations influence natural conception and birth rates variably in different populations. It has been hypothesised that similar seasonal influences may affect treatment outcomes following assisted reproductive technology (ART). However, most studies report conflicting results.

aimThe aim of the study is to elucidate whether seasonality had any impact on the treatment success of the ART program. STUDY SETTING AND

designWe conducted a retrospective cohort study at a university-level tertiary care hospital in South India. MATERIALS AND

methodsAll couples who underwent ART between January 2012 and December 2016 were included in the study. We divided the study population into three groups based on the seasonal differences experienced in our region. The primary outcome was live birth rate (LBR). STATISTICAL ANALYSIS: Univariate and multiple logistic regression models were used to compare outcomes and results reported as odds ratio (OR) and 95% confidence interval (CI).

resultsUnivariate analysis revealed no significant difference in LBR in monsoon season (174/651, 26.7% vs. 83/319, 26.0%; OR 1.04, 95% CI 0.77,1.41;

conclusionThe current study found no significant effect of seasonal variation on LBR following ART.

Indexed as

assisted reproductive technologyAssisted reproductive technology outcomelive birth rateseasonal variation

Identifiers

PMID34759620
PMCPMC8527073

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