Evidence map›Paper›PMID 19760079›Full record

ArticleInternational urogynecology journal2010

Decreased nanobacteria levels and symptoms of nanobacteria-associated interstitial cystitis/painful bladder syndrome after tetracycline treatment.

Qing-hua Zhang, Xue-cheng Shen, Zhan-song Zhou, Zhi-wen Chen, Gen-sheng Lu, Bo Song

Abstract read
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In one paragraph

Article in International urogynecology journal, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
3.1field-weighted citation impact, top 9% 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

14 citing papers in PubMed, 29 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Review
  6. Article
  7. Review
  8. Interstitial cystitis intravesical therapy.Translational andrology and urology · 2017
    Review
  9. Article
  10. Article
  11. Article
  12. The role of calcifying nanoparticles in biology and medicine.International journal of nanomedicine · 2012
    Review
  13. Article
  14. 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 2 institutions in 1 country.

Qing-hua ZhangUrological Research Institute of PLA, Southwest Hospital, Third Military Medical University, Chongqing, 400038, People's Republic of China.
Xue-cheng Shen
Zhan-song Zhou
Zhi-wen Chen
Gen-sheng Lu
Bo Song
Army Medical University · CNSouthwest Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introduction and hypothesisThis study was designed to detect whether nanobacteria (NB) reside in urine and bladder tissue samples of patients with interstitial cystitis/painful bladder syndrome (IC/PBS) and whether antibiotic therapy targeting these organisms is effective in reducing NB levels and IC/PBS symptoms.

methodsTwenty-seven IC/PBS patients underwent cystoscopy. Bladder biopsies and urine samples were obtained and cultured for NB, which were identified by indirect immunofluorescent staining and transmission electron microscopy.

resultsEleven bladder samples showed growth of microbes that were identified to be similar to NB. Homologous study of the 16S ribosomal RNA gene suggested that the NB could be the pathogen. For enrolled 11 patients, NB levels decreased dramatically after tetracycline treatment, and they reported significant reduction in the severity of IC/PBS symptoms.

conclusionsA high prevalence of NB was observed in female IC/PBS, and anti-NB treatment effectively improved the symptoms, which suggest that NB may cause some cases of IC/PBS.

Indexed as

AdultAnti-Bacterial AgentsBacteriaBiopsyCystitisCystitis, InterstitialCystoscopyFemaleHumansMiddle AgedRetrospective StudiesTetracyclineTreatment OutcomeUrinary BladderUrineAnti-Bacterial AgentsTetracycline

Identifiers

PMID19760079
OpenAlexW2087366647

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.