Evidence map›Paper›PMID 31686733›Full record

ArticleIndian journal of clinical biochemistry : IJCB2019

Evaluating

Kritika Krishnamurthy, T K Mishra, Alpana Saxena, M K Daga, Nita Khurana, Mirza Masroor, Elvia Jamatia

Open access · greenAbstract read
In one paragraph

Article in Indian journal of clinical biochemistry : IJCB, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.3field-weighted citation impact, top 43% 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

8 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Review
  6. Promoter Methylation of TwoAddiction & health · 2023
    Article
  7. Review
  8. 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

7 authors at 1 institution in 1 country.

Kritika Krishnamurthy1Department of Biochemistry, Maulana Azad Medical College, 2 Bahadur Shah Zafar Marg, New Delhi, India.
T K Mishra1Department of Biochemistry, Maulana Azad Medical College, 2 Bahadur Shah Zafar Marg, New Delhi, India.
Alpana Saxena1Department of Biochemistry, Maulana Azad Medical College, 2 Bahadur Shah Zafar Marg, New Delhi, India.
M K Daga2Department of Medicine, Maulana Azad Medical College, 2 Bahadur Shah Zafar Marg, New Delhi, India.
Nita Khurana3Department of Pathology, Maulana Azad Medical College, 2 Bahadur Shah Zafar Marg, New Delhi, India.
Mirza Masroor1Department of Biochemistry, Maulana Azad Medical College, 2 Bahadur Shah Zafar Marg, New Delhi, India.
Elvia Jamatia1Department of Biochemistry, Maulana Azad Medical College, 2 Bahadur Shah Zafar Marg, New Delhi, India.
Maulana Azad Medical College · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lung cancer has very high mortality due to late stage diagnosis not amenable to curative resection. Cancer specific methylation patterns of tumor suppressor genes may precede precursor lesions of lung cancer. Our aim was to evaluate the promoter hypermethylation of tumor suppressor gene NISCH and CDH1 in cfDNA from plasma of lung cancer patients and its possible correlation with smoking status and various clinicopathological parameters. Forty histopathologically confirmed lung cancer cases, thirty smoker and thirty nonsmoker controls were enrolled. Plasma cfDNA was extracted and subjected to bisulfite treatment followed by MS-PCR. Serum nischarin levels were estimated by ELISA. The frequency of promoter hypermethylation of NISCH and CDH1 was significantly higher in lung cancer patients as compared to lifelong non-smoker controls (

Indexed as

ccfDNACDH1EpigeneticsHypermethylationNISCH

Identifiers

PMID31686733
PMCPMC6801260
OpenAlexW2809815971

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.