Evidence map›Paper›PMID 34003184›Full record

ArticleRecenti progressi in medicina2021

[Long covid syndrome and real world evidence.]

Nello Martini

Abstract readEditorialComment
PubMed Publisher
In one paragraph

Article in Recenti progressi in medicina, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

1 author.

Nello MartiniFondazione Ricerca e Salute.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Long covid syndrome is increasingly studied and debated. The number of scientific publications is growing and groups and associations of patients affected by the syndrome are increasingly active. There is concern that international attention to this syndrome could lead to an excess of diagnostic procedures and unnecessary medical interventions. On the other hand, we have a robust body of evidence of a constellation of symptoms and ailments suffered by patients recovered from covid-19. Tackling this problem therefore means tackling coexistence with covid-19 in the long term, annexing this pathology in a chronic perspective. The collection and analysis of data, therefore, could already allow a stratification of populations at risk, putting social and services in a position to respond adequately to the demand for assistance that is expected to be received by a very large number of patients. But it is essential that real-world evidence goes hand in hand with the selection, analysis and interpretation of information collected in administrative databases, disease registers and databases developed by universities and institutions to promote public health truly personalized.

Indexed as

COVID-19HumansSARS-CoV-2

Identifiers

PMID34003184

What OpenQuestion holds

Textmetadata
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.