Evidence map›Paper›PMID 34830749›Full record

ReviewCancers2021

High Poly(ADP-Ribose) Polymerase Expression Does Relate to Poor Survival in Solid Cancers: A Systematic Review and Meta-Analysis.

Nishant Thakur, Kwangil Yim, Jamshid Abdul-Ghafar, Kyung Jin Seo, Yosep Chong

Open access · goldAbstract readReview
In one paragraph

Review in Cancers, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
0.5field-weighted citation impact, top 31% 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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 10 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. PARP-1 Expression andCancers · 2022
    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

5 authors at 1 institution in 1 country.

Nishant ThakurDepartment of Hospital Pathology, College of Medicine, The Catholic University of Korea, Seoul 07345, Korea.ORCID 0000-0001-8761-0837
Kwangil YimDepartment of Hospital Pathology, College of Medicine, The Catholic University of Korea, Seoul 07345, Korea.ORCID 0000-0001-8767-9033
Jamshid Abdul-GhafarDepartment of Hospital Pathology, College of Medicine, The Catholic University of Korea, Seoul 07345, Korea.
Kyung Jin SeoDepartment of Hospital Pathology, College of Medicine, The Catholic University of Korea, Seoul 07345, Korea.ORCID 0000-0002-1908-9696
Yosep ChongDepartment of Hospital Pathology, College of Medicine, The Catholic University of Korea, Seoul 07345, Korea.ORCID 0000-0001-8615-3064
Catholic University of Korea · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Poly (ADP-ribose) polymerase (PARP) is a DNA damage repair protein, and its inhibitors have shown promising results in clinical trials. The prognostic significance of PARP is inconsistent in studies of various cancers. In the present study, we conducted a systematic review and meta-analysis to reveal the prognostic and clinicopathological significance of PARP expression in multiple solid cancers. We searched the MEDLINE, EMBASE, and Cochrane databases for relevant research articles published from 2005 to 2021. The pooled hazard ratio (HR) with confidence interval (CI) was calculated to investigate the relationship between PARP expression and survival in multiple solid cancers. In total, 10,667 patients from 31 studies were included. A significant association was found between higher PARP expression and overall survival (OS) (HR = 1.54, 95% CI = 1.34-1.76,

Indexed as

BRCA1 and BRCA2meta-analysisneoplasmpoly(ADP-ribose) polymerasesprognosis

Identifiers

PMID34830749
PMCPMC8615806
OpenAlexW3214058484

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.