Evidence map›Paper›PMID 36428487›Full record

ArticleBiomedicines2022

Estimation of Early Postmortem Interval from Long Noncoding RNA Gene Expression in the Incised Cutaneous Wound: An Experimental Study.

Mona M Ali, Samah F Ibrahim, Noha M Elrewieny, Aya M Elyamany, Wagdy K B Khalil, Aziza B Shalby, Sarah A Khater

Abstract read
In one paragraph

Article in Biomedicines, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. 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.

Mona M AliForensic Medicine and Clinical Toxicology Department, College of Medicine, Cairo University, Cairo 11956, Egypt.
Samah F IbrahimClinical Sciences Department, College of Medicine, Princess Nourah bint Abdulrahman University, P.O. Box 84428, Riyadh 11671, Saudi Arabia.ORCID 0000-0002-2824-3296
Noha M ElrewienyForensic Medicine and Clinical Toxicology Department, College of Medicine, Cairo University, Cairo 11956, Egypt.
Aya M ElyamanyPathology Department, College of Medicine, Cairo University, Cairo 11956, Egypt.
Wagdy K B KhalilCell Biology Department, Biotechnology Research Institute, National Research Center, Cairo P.O. Box 12622, Egypt.
Aziza B ShalbyHormones Department, National Research Center, Cairo P.O. Box 12622, Egypt.
Sarah A KhaterForensic Medicine and Clinical Toxicology Department, Faculty of Medicine, Misr University for Science and Technology, 6th October, P.O. Box 77, Cairo 3236101, Egypt.ORCID 0000-0003-3131-7134

Funding

Princess Nourah bint Abdulrahman University Princess Nourah bint Abdulrahman University Researchers Supporting Project number (PNURSP2022R127), Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia.
6 · The paper itself

Abstract

The assessment of alteration of postmortem RNA expression has forensic significance in estimating postmortem interval. To evaluate wound healing progression and the effect of different postmortem intervals, histopathological changes, immunohistochemical matrix metalloproteinase-9 (MMP-9) expression, and long noncoding fatty acid oxidation (lncFAO), RNA expression was assessed in the incised cutaneous wound model. A full-thickness cutaneous wound was inflicted on 75 rats. All 15 rats were sacrificed at different post-infliction intervals (0, 2, 4, 8 and 10 days), and the cutaneous wounds (

Indexed as

forensic medicineincised woundlong non-coding RNAmatrix metalloproteinase-9postmortem interval

Identifiers

PMID36428487
PMCPMC9687757

What OpenQuestion holds

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Registered trials

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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.