Evidence map›Paper›PMID 35118358›Full record

ArticleiScience2022

A new blood-based RNA signature (R

Chandrani Thakur, Ashutosh Tripathi, Sathyabaarathi Ravichandran, Akshatha Shivananjaiah, Anushree Chakraborty, Sreekala Varadappa, Nagaraj Chikkavenkatappa, Deepesh Nagarajan, Sharada Lakshminarasimhaiah, Amit Singh and 1 more

Open access · goldAbstract read
In one paragraph

Article in iScience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.5field-weighted citation impact, top 38% 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

6 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Article
  3. Inflammatory Biomarkers of Asymptomatic and Symptomatic Tuberculosis.bioRxiv : the preprint server for biology · 2025
    Article
  4. Article
  5. Review
  6. 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

11 authors at 1 institution in 1 country.

Chandrani ThakurDepartment of Biochemistry, Indian Institute of Science, Bangalore, India.
Ashutosh TripathiDepartment of Microbiology and Cell Biology, Indian Institute of Science, Bangalore, India.
Sathyabaarathi RavichandranNational Mathematics Initiative, Indian Institute of Science, Bangalore, India.
Akshatha ShivananjaiahSDS Tuberculosis Research Centre and Rajiv Gandhi Institute of Chest Diseases, Bangalore, India.
Anushree ChakrabortySDS Tuberculosis Research Centre and Rajiv Gandhi Institute of Chest Diseases, Bangalore, India.
Sreekala VaradappaSDS Tuberculosis Research Centre and Rajiv Gandhi Institute of Chest Diseases, Bangalore, India.
Nagaraj ChikkavenkatappaSDS Tuberculosis Research Centre and Rajiv Gandhi Institute of Chest Diseases, Bangalore, India.
Deepesh NagarajanDepartment of Biochemistry, Indian Institute of Science, Bangalore, India.
Sharada LakshminarasimhaiahHealth Centre, Indian Institute of Science, Bangalore, India.
Amit SinghDepartment of Microbiology and Cell Biology, Indian Institute of Science, Bangalore, India.
Nagasuma ChandraDepartment of Biochemistry, Indian Institute of Science, Bangalore, India.
Indian Institute of Science Bangalore · IN

Funding

Wellcome Trust
6 · The paper itself

Abstract

Tuberculosis (TB) treatment involves a multidrug regimen for six months, and until two months, it is unclear if treatment is effective. This delay can lead to the evolution of drug resistance, lung damage, disease spread, and transmission. We identify a blood-based 9-gene signature using a computational pipeline that constructs and interrogates a genome-wide transcriptome-integrated protein-interaction network. The identified signature is able to determine treatment response at week 1-2 in three independent public datasets. Signature-based R

Indexed as

Biological sciencesClinical findingMedical microbiologyMedicine

Identifiers

PMID35118358
PMCPMC8800112
OpenAlexW4205373214

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.