Evidence map›Paper›PMID 39188580›Full record

ArticleAJOG global reports2024

Revolutionizing chronic endometritis diagnosis: real-time polymerase chain reaction unveils microbial pathogens in Indian women with abnormal bleeding and reproductive challenges.

Murugan Nandagopal, Rajesh Rajan N, Chirayu Padhiar, Mayur Abhaya, Uma Bansal, Prakash Ghambir

Abstract read
In one paragraph

Article in AJOG global reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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.

Murugan NandagopalLifeCell International (P) Ltd. (Nandagopal, Rajan N., Padhiar, Abhaya, and Ghambir), Chennai, Tamil Nadu, India.
Rajesh Rajan NLifeCell International (P) Ltd. (Nandagopal, Rajan N., Padhiar, Abhaya, and Ghambir), Chennai, Tamil Nadu, India.
Chirayu PadhiarLifeCell International (P) Ltd. (Nandagopal, Rajan N., Padhiar, Abhaya, and Ghambir), Chennai, Tamil Nadu, India.
Mayur AbhayaLifeCell International (P) Ltd. (Nandagopal, Rajan N., Padhiar, Abhaya, and Ghambir), Chennai, Tamil Nadu, India.
Uma BansalDr Bansal's Arogya Hospital & Arogya Maa IVF (Bansal), Thane, Maharashtra, India.
Prakash GhambirLifeCell International (P) Ltd. (Nandagopal, Rajan N., Padhiar, Abhaya, and Ghambir), Chennai, Tamil Nadu, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: This study aimed to assess the utility of real-time-polymerase chain reaction (PCR) for diagnosing chronic endometritis (CE) by targeting 11 prevalent pathogens and to compare the outcomes with conventional culture-based diagnosis. Study Design: A retrospective analysis was conducted on 500 patients with clinical conditions such as abnormal bleeding, in vitro fertilization failure, recurrent implantation failure, recurrent miscarriage, and recurrent pregnancy loss. The prevalence of 11 key pathogens associated with CE was evaluated in endometrial biopsy samples. Results: In our study, PCR identified 318 cases (63.6%) positive for at least one of the 11 investigated pathogens, while culture-based methods detected 115 cases (23%). Predominant pathogens detected by PCR included Conclusion: The DICE panel proves itself as a swift, precise, and cost-effective diagnostic tool for detecting both culturable and nonculturable endometrial pathogens in CE. Demonstrating superiority, the Molecular method outshines microbial culture, ensuring accurate and sensitive detection of CE-associated pathogens, harmonizing seamlessly with histology and hysteroscopy findings.

Indexed as

chronic endometritisEndometrial tuberculosismicrobial culturepolymerase chain reaction

Identifiers

PMID39188580
PMCPMC11345570

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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.