Evidence map›Paper›PMID 23093412›Full record

ArticleJournal of molecular histology2013

Mapping histological levels of 8-hydroxy-2'-deoxyguanosine in female reproductive organs.

Luiz Fernando Pina de Carvalho, Mauricio Simões Abrão, Charles Biscotti, Rakesh Sharma, Ashok Agarwal, Tommaso Falcone

Abstract read
PubMed Publisher
In one paragraph

Article in Journal of molecular histology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.0field-weighted citation impact, top 20% 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

7 citing papers in PubMed, 13 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. 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 at 3 institutions in 1 country.

Luiz Fernando Pina de CarvalhoCenter for Reproductive Medicine, Obstetrics and Gynecology and Women's Health Institute, Glickman Urology and Kidney Institute, Cleveland, OH 44195, USA. luizcarvalho.dr@me.com
Mauricio Simões Abrão
Charles Biscotti
Rakesh Sharma
Ashok Agarwal
Tommaso Falcone
Cleveland Clinic · USInstitute for Reproductive Health · USCleveland Research (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Oxidative stress is associated with many disease states including gynecologic disease. This process can damage lipids, proteins and DNA. The present study highlights the role of oxidative stress induced DNA damage as measured by 8-hydroxy-2-deoxyguanosine in development of benign gynecological conditions (BGC). Our aim was to map the oxidative DNA damage on female reproductive organs and highlight the high amount found in a variety of benign gynecologic disorders. Seventeen biopsy specimens from female pelvic organs were divided in two groups: healthy organs tissue and BGC tissue. Healthy organs biopsy tissue included the cervix, tubes, uterus, peritoneum, and topic endometrium in secretory phase. Benign gynecological biopsy tissue included hydrosalpinges, leiomyoma, adenomyosis and tubal cysts. Immunohistochemical staining showed significantly higher levels of DNA damage between BGC and healthy organs [19.36 % (6.20; 32.51) vs. 4.61 % (0.63; 8.53); P < 0.0344]. Our results highlight the involvement of oxidative stress DNA damage in female benign pelvic disease. Hydrosalpinges, leiomyoma, and adenomyosis exhibit the highest amounts of oxidative DNA damage in the pelvic cavity.

Indexed as

8-Hydroxy-2'-DeoxyguanosineAdenomyosisAdultCervix UteriDeoxyguanosineFemaleGenitalia, FemaleHumansMiddle Aged8-Hydroxy-2'-DeoxyguanosineDeoxyguanosine

Identifiers

PMID23093412
OpenAlexW1999400011

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.