Evidence map›Paper›PMID 32318414›Full record

ArticleJournal of family medicine and primary care2020

A study of isolation and identification of bacteria from lake water in and around Udaipur, Rajasthan.

Upasana Bhumbla, Shipra Majumdar, Sarita Jain, A S Dalal

Open access · goldAbstract read
In one paragraph

Article in Journal of family medicine and primary care, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.3field-weighted citation impact, top 50% 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

1 citing paper in PubMed, 11 citations in OpenAlex.

  1. 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

4 authors at 1 institution in 1 country.

Upasana BhumblaDepartment of Microbiology, Geetanjali Medical College and Hospital, Udaipur, Rajasthan, India.
Shipra MajumdarThird Year MBBS Student, Geetanjali Medical College and Hospital, Udaipur, Rajasthan, India.
Sarita JainDepartment of Microbiology, Geetanjali Medical College and Hospital, Udaipur, Rajasthan, India.
A S DalalDepartment of Microbiology, Geetanjali Medical College and Hospital, Udaipur, Rajasthan, India.
Rabindranath Tagore Medical College · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionWater is an essential nutrient which plays an important role in digestion, absorption of food and elimination of waste products by urine. Udaipur also known as 'City of Lakes' or even the 'Venice of East' due to its unique and beautiful lake system has an exceptional importance at national and international levels. The aquatic systems are mostly dominated by bacteria and fungi and in the natural environments micro-organisms have very specific roles with regard to the recycling of materials and purification of water. Presence of coliform bacteria in the water indicates the fecal pollution of water.

methodsWater from all the three lakes were included for the assessment of their water quality parameters. Biological parameters like MPN of coliforms and presence of bacterial and cyanobacterial contaminants were read. The MPN (Most Probable Number) of Coliform was determined by the Presumptive Coliform Count (Multiple Tube Method) in 100 ml of sample water.

conclusionThe coliform bacteria is the primary bacterial indicator for fecal pollution in water. The purpose of study was to make people aware about the bacterial load in water bodies. Based on this, categorical representation of water was unacceptable for the purpose of swimming and bathing.

Indexed as

ColiformcyanobacterialFatehsagarPichholaSwaroop sagar

Identifiers

PMID32318414
PMCPMC7113958
OpenAlexW3009997906

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.