Evidence map›Paper›PMID 22966301›Full record

ArticleOncology letters2010

A combination of green tea extract, specific nutrient mixture and quercetin: An effective intervention treatment for the regression of N-methyl-N-nitrosourea (MNU)-induced mammary tumors in Wistar rats.

Anup Kale, Sonia Gawande, Swati Kotwal, Shrirang Netke, M Waheed Roomi, Vadim Ivanov, Aleksandra Niedzwiecki, Matthias Rath

Open access · bronzeAbstract read
In one paragraph

Article in Oncology letters, 2010. 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
0.4field-weighted citation impact, top 33% 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, 12 citations in OpenAlex.

  1. Review
  2. Review
  3. N-Methyl-N-nitrosourea as a mammary carcinogenic agent.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2015
    Review
  4. Article
  5. Article
  6. Review
  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

8 authors at 3 institutions in 2 countries.

Anup KaleUniversity Department of Biochemistry, Rashtrasant Tukadoji Maharaj Nagpur University, Nagpur 440033, India.
Sonia Gawande
Swati Kotwal
Shrirang Netke
M Waheed Roomi
Vadim Ivanov
Aleksandra Niedzwiecki
Matthias Rath
Cellular Research (United States) · USRashtrasant Tukadoji Maharaj Nagpur University · INRath Research Institute · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mammary tumors were developed by intraperitoneal injection of N-methyl-N-nitrosourea (MNU) in 21-day-old, sexually immature female Wistar rats. Injection of MNU was repeated 14 weeks after the first one. When palpable tumors were evident in all of the rats, various dietary treatments were initiated for a period of 8 weeks. The treatments were designed to provide 30 mg green tea extract either alone or as a nutrient mixture (E). E was then expanded to include either a nutrient supplement (N), quercetin (Q) or both (N+Q). At the end of the treatment, tumor size/rat measured in the live rats was significantly lower in the groups receiving E, E+Q, E+N and E+N+Q than in the positive control (PC) group which did not receive any dietary treatment. Tumor number/rat, tumor volume/rat and tumor weight/rat were evaluated after sacrificing the rats on the 60th day. The rats receiving E+N+Q showed significantly lower values for the three parameters as compared to the PC group. The PC group showed 24 carcinomas mostly of grade III severity, while the E+N+Q group had only 6 carcinomas, all of which were of grade II severity.

Identifiers

PMID22966301
PMCPMC3436414
OpenAlexW2158570302

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.