Evidence map›Paper›PMID 22089605›Full record

SynthesisThe Indian journal of medical research2011

Identifying potential pitfalls in interpreting mitochondrial DNA mutations of male infertility cases.

Malliya Gounder Palanichamy, Ya-Ping Zhang

Abstract readMeta-Analysis
In one paragraph

Synthesis in The Indian journal of medical research, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.5field-weighted citation impact, top 36% of its field
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

6 citing papers in PubMed, 15 citations in OpenAlex.

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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

2 authors at 1 institution in 1 country.

Malliya Gounder PalanichamyLaboratory for Conservation & Utilization of Bio-resources, Yunnan University, Kunming, China. empalani@yahoo.com
Ya-Ping Zhang
Yunnan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND &

objectivesRecently, a significantly higher ratio of nucleotide changes in the mtDNA genes: COII, ATPase 6, ATPase 8, ND2, ND3, ND4, and ND5 was reported in spermatozoa from populations of infertile Indian men, compared suggesting that screening for mtDNA mutations could provide insight into the aetiology of male infertility. In this study, we examined the published data and found serious errors in the original acquisition and analysis of the data.

methodsThe mtDNA data associated with male infertility in Indian populations were retrieved from the published sources. The mtDNA substitution values of infertile and control groups were evaluated using phylogenetic methods and previously published mtDNA phylogenies.

resultsMost of the mtDNA polymorphisms reported as significantly correlated with infertility were more commonly found in general populations. Further, our analysis showed that some of the mtDNA substitutions were erroneously overestimated in the infertile groups and underestimated in the control groups, and vice-versa. INTERPRETATION &

conclusionsContrary to earlier claims, our analysis demonstrated no significant association between the mtDNA polymorphisms and male infertility in these studies. Further, these errors in the published data impune the usefulness of mitochondrial molecular analyses in male infertility diagnosis.

Indexed as

DNA, MitochondrialDNA Mutational AnalysisHumansIndiaInfertility, MaleMaleMutationPhylogenyPolymorphism, GeneticSpermatozoaStatistics as TopicDNA, Mitochondrial

Identifiers

PMID22089605
PMCPMC3237241
OpenAlexW1938019603

What OpenQuestion holds

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LicenceCC BY-NC-SA
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Registered trials

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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.