Evidence map›Paper›PMID 35913191›Full record

ArticlemSystems2022

Modeling-Guided Amendments Lead to Enhanced Biodegradation in Soil.

Kusum Dhakar, Raphy Zarecki, Shlomit Medina, Hamam Ziadna, Karam Igbaria, Ran Lati, Zeev Ronen, Hanan Eizenberg, Shiri Freilich

Abstract read
In one paragraph

Article in mSystems, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–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

3 citing papers in PubMed.

  1. Review
  2. Review
  3. 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

9 authors.

Kusum Dhakar *Newe Ya'ar Research Center, Agricultural Research Organizationgrid.410498.0, Ramat Yishay, Israel.
Raphy Zarecki *Newe Ya'ar Research Center, Agricultural Research Organizationgrid.410498.0, Ramat Yishay, Israel.
Shlomit MedinaNewe Ya'ar Research Center, Agricultural Research Organizationgrid.410498.0, Ramat Yishay, Israel.
Hamam ZiadnaNewe Ya'ar Research Center, Agricultural Research Organizationgrid.410498.0, Ramat Yishay, Israel.
Karam IgbariaNewe Ya'ar Research Center, Agricultural Research Organizationgrid.410498.0, Ramat Yishay, Israel.
Ran LatiNewe Ya'ar Research Center, Agricultural Research Organizationgrid.410498.0, Ramat Yishay, Israel.
Zeev Ronen *Department of Environmental Hydrology & Microbiology, Zuckerberg Institute for Water Research, Jacob Blaustein Institutes for Desert Research, Ben-Gurion University of the Negevgrid.7489.2, Midreshet Ben-Gurion, Israel.
Hanan Eizenberg *Newe Ya'ar Research Center, Agricultural Research Organizationgrid.410498.0, Ramat Yishay, Israel.
Shiri Freilich *Newe Ya'ar Research Center, Agricultural Research Organizationgrid.410498.0, Ramat Yishay, Israel.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Extensive use of agrochemicals is emerging as a serious environmental issue coming at the cost of the pollution of soil and water resources. Bioremediation techniques such as biostimulation are promising strategies used to remove pollutants from agricultural soils by supporting the indigenous microbial degraders. Though considered cost-effective and eco-friendly, the success rate of these strategies typically varies, and consequently, they are rarely integrated into commercial agricultural practices. In the current study, we applied metabolic-based community-modeling approaches for promoting realistic

Indexed as

Environmental PollutantsPesticidesAgricultureBacteriaBiodegradation, EnvironmentalSoilEnvironmental PollutantsPesticidesSoilbiostimulationherbicidesmetabolic modelingmicrobial degradation

Identifiers

PMID35913191
PMCPMC9426591

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.