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Literature review

Ask a research question. We look for the papers that answer it, find the founding and the recent ones, group them by approach and write a comparative synthesis that cites them.

How to ask your question and check the synthesis? Illustrated guide

A real example: what you get

Example in Astrophysics Computer science and AI Biology and medicine

30 papers in 5 themes · “Gut Microbiome and Checkpoint Inhibitor Response”.

  • A synthesis, each sentence with its papers
  • 5 themes with their findings
  • 2 points of consensus
  • 3 open questions
  • Each statement with the quoted sentence of its paper
The synthesis

The papers support a relationship between gut microbiome composition and response to immune checkpoint inhibitors (ICIs), but human evidence is predominantly observational and does not establish a universally causal or clinically predictive microbial signature.

A point of consensus, with its source

The microbiome–response association is credible, but a simple universal species-based biomarker is not supported by the cross-cohort evidence.

Its source A machine learning analysis confirmed the link between the microbiome and overall response rates (ORRs) and progression-free survival (PFS) with ICIs but also revealed limited reproducibility of microbiome-based signatures across cohorts. — Cross-cohort gut microbiome associations with immune checkpoint inhibitor response in advanced melanoma

The first results

  1. Gut microbiome modulates efficacy of immune checkpoint inhibitors Ming Yi, Shengnan Yu, Shuang Qin, Qian Liu et al. · 2018 Reviews evidence and mechanisms connecting gut microbiome composition with checkpoint inhibitor efficacy.
  2. Microbiota and cancer immunotherapy: in search of microbial signals Raad Z. Gharaibeh, Christian Jobin · 2018 Discusses microbial features and therapeutic approaches relevant to cancer immunotherapy.

28 more results hidden

See a complete example, explained step by step →

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How it works

  1. We turn your question into its key concepts, their synonyms, and several literature searches.
  2. We run them on OpenAlex (journals, preprints and conference papers, open access or not) and on arXiv, by relevance and for the last three years, and look for reviews and the most cited works.
  3. We follow the citations both ways: the works many of the closest papers cite are the founding papers a keyword search misses, and the recent papers that cite those are the ones written with newer words. Retracted papers are left out.
  4. We rank the candidates by closeness to your question, an AI screens their abstracts and says why each one is kept, and we keep 15 to 30 papers, founding and recent, preprints and unreviewed deposits marked as such.
  5. We read the conclusions of the papers whose full text is open, then write a synthesis by approach, a comparison table, where the papers agree and disagree, what they leave open, and the numbered references. Each statement shows the sentences of the papers that support it, checked word for word.
  6. Take papers out or put others in, search again with your own queries or later to see what is new, and export the review to BibTeX, RIS, Markdown, LaTeX or Zotero.